Triple
T7732106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soest |
E175283
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Hattrop
Hattrop is a small village and district within the town of Soest in North Rhine-Westphalia, Germany.
|
E684027
|
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: Hattrop | Statement: [Soest, hasSubdivision, Hattrop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hattrop Context triple: [Soest, hasSubdivision, Hattrop]
-
A.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
B.
Helmold
Helmold is a Germanic given name, historically used in medieval German-speaking regions and derived from elements meaning "helmet" or "protection" and "rule" or "power."
-
C.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
-
D.
Strelsau
Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
E.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
- 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: Hattrop Triple: [Soest, hasSubdivision, Hattrop]
Generated description
Hattrop is a small village and district within the town of Soest in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hattrop Target entity description: Hattrop is a small village and district within the town of Soest in North Rhine-Westphalia, Germany.
-
A.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
B.
Helmold
Helmold is a Germanic given name, historically used in medieval German-speaking regions and derived from elements meaning "helmet" or "protection" and "rule" or "power."
-
C.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
-
D.
Strelsau
Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
E.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70336aafc819099a060950ab8922f |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b531a7f481908e4ff7f15b851070 |
completed | March 29, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69c8b5fbda848190b09172740371fd47 |
completed | March 29, 2026, 5:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b675ddb0819085d79dbba560d08f |
completed | March 29, 2026, 5:19 a.m. |
Created at: March 27, 2026, 4:06 p.m.