Triple
T15095157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surat metropolitan region |
E360518
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Rander
Rander is a historic suburb of Surat in the Indian state of Gujarat, known for its old trading community and cultural heritage.
|
E1137565
|
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: Rander | Statement: [Surat metropolitan region, hasSuburb, Rander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rander Context triple: [Surat metropolitan region, hasSuburb, Rander]
-
A.
Landerd
Landerd is a former municipality in the Dutch province of North Brabant, known for its rural character and small villages such as Zeeland, Schaijk, and Reek.
-
B.
Arandis
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
-
C.
Brannenburg
Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
-
D.
Ryand'r
Ryand'r is a Tamaranean prince from DC Comics, best known as the younger brother of Starfire and for his complex role in the politics and conflicts of their homeworld, Tamaran.
-
E.
Leeland
Leeland is a contemporary Christian worship band known for its melodic rock sound and spiritually themed lyrics.
- 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: Rander Triple: [Surat metropolitan region, hasSuburb, Rander]
Generated description
Rander is a historic suburb of Surat in the Indian state of Gujarat, known for its old trading community and cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rander Target entity description: Rander is a historic suburb of Surat in the Indian state of Gujarat, known for its old trading community and cultural heritage.
-
A.
Landerd
Landerd is a former municipality in the Dutch province of North Brabant, known for its rural character and small villages such as Zeeland, Schaijk, and Reek.
-
B.
Arandis
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
-
C.
Brannenburg
Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
-
D.
Ryand'r
Ryand'r is a Tamaranean prince from DC Comics, best known as the younger brother of Starfire and for his complex role in the politics and conflicts of their homeworld, Tamaran.
-
E.
Leeland
Leeland is a contemporary Christian worship band known for its melodic rock sound and spiritually themed lyrics.
- F. None of above. chosen
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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054571a48190a57055c0d6e90f82 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae21134c81908939ad6ce46703d8 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feb37427a881908cf95f60b06251d4 |
completed | May 9, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb429517c8190a91cc6b50345d889 |
completed | May 9, 2026, 4:12 a.m. |
Created at: April 10, 2026, 3:04 a.m.