Triple
T5724305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hansa Mehta |
E126224
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hansa
Hansa is a feminine given name of Indian origin, notably borne by Indian reformer and diplomat Hansa Mehta.
|
E222952
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hansa | Statement: [Hansa Mehta, givenName, Hansa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hansa Context triple: [Hansa Mehta, givenName, Hansa]
-
A.
Hansa
Hansa is a historical term for the Hanseatic League, a powerful medieval commercial and defensive confederation of merchant guilds and market towns in Northern Europe.
-
B.
Dukenburg
Dukenburg is a residential district in the southwest of Nijmegen in the Netherlands, known for its post-war urban planning and local railway connectivity.
-
C.
Germaniawerft
Germaniawerft was a major German shipbuilding company and naval shipyard in Kiel, known for constructing warships for the Imperial German Navy and later the Kriegsmarine.
-
D.
Unternehmen Braunschweig
Unternehmen Braunschweig was a German World War II military operation known under the codename "Operation Braunschweig."
-
E.
MTU Friedrichshafen
MTU Friedrichshafen is a German company specializing in the development and production of high-performance diesel engines and propulsion systems for industrial, marine, and defense applications.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hansa Triple: [Hansa Mehta, givenName, Hansa]
Generated description
Hansa is a feminine given name of Indian origin, notably borne by Indian reformer and diplomat Hansa Mehta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hansa Target entity description: Hansa is a feminine given name of Indian origin, notably borne by Indian reformer and diplomat Hansa Mehta.
-
A.
Hansa
chosen
Hansa is a historical term for the Hanseatic League, a powerful medieval commercial and defensive confederation of merchant guilds and market towns in Northern Europe.
-
B.
Dukenburg
Dukenburg is a residential district in the southwest of Nijmegen in the Netherlands, known for its post-war urban planning and local railway connectivity.
-
C.
Germaniawerft
Germaniawerft was a major German shipbuilding company and naval shipyard in Kiel, known for constructing warships for the Imperial German Navy and later the Kriegsmarine.
-
D.
Unternehmen Braunschweig
Unternehmen Braunschweig was a German World War II military operation known under the codename "Operation Braunschweig."
-
E.
MTU Friedrichshafen
MTU Friedrichshafen is a German company specializing in the development and production of high-performance diesel engines and propulsion systems for industrial, marine, and defense applications.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02506d8288190b33bede6c22af773 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a83c88c819097abe565ba010a29 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05b7c3bd48190ad8303bf1bb3ec6a |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c22c31081909a9a67d99e7c728c |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:47 p.m.