Triple
T22413943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heesch (Bernheze) |
E554063
|
entity |
| Predicate | partOfFormerMunicipality |
P5557
|
FINISHED |
| Object |
Heesch
Heesch is a town in the Dutch province of North Brabant that formerly existed as an independent municipality before becoming part of the municipality of Bernheze.
|
E1536172
|
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: Heesch | Statement: [Heesch (Bernheze), partOfFormerMunicipality, Heesch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heesch Context triple: [Heesch (Bernheze), partOfFormerMunicipality, Heesch]
-
A.
Hepscheid
Hepscheid is a small village that forms part of the municipality of Amel in the German-speaking Community of eastern Belgium.
-
B.
Heze
Heze is a prefecture-level city in southwestern Shandong Province, China, known as a major agricultural center and a famous hub for peony cultivation.
-
C.
Heze
Heze is a bright main-sequence star in the constellation Virgo, also designated Zeta Virginis.
-
D.
Heppen
Heppen is a village in the Belgian province of Limburg that forms part of the municipality of Leopoldsburg.
-
E.
Hertevin
Hertevin is a modern Eastern Aramaic dialect traditionally spoken by a small Christian community from the village of Hertevin in southeastern Turkey.
- 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: Heesch Triple: [Heesch (Bernheze), partOfFormerMunicipality, Heesch]
Generated description
Heesch is a town in the Dutch province of North Brabant that formerly existed as an independent municipality before becoming part of the municipality of Bernheze.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heesch Target entity description: Heesch is a town in the Dutch province of North Brabant that formerly existed as an independent municipality before becoming part of the municipality of Bernheze.
-
A.
Hepscheid
Hepscheid is a small village that forms part of the municipality of Amel in the German-speaking Community of eastern Belgium.
-
B.
Heze
Heze is a prefecture-level city in southwestern Shandong Province, China, known as a major agricultural center and a famous hub for peony cultivation.
-
C.
Heze
Heze is a bright main-sequence star in the constellation Virgo, also designated Zeta Virginis.
-
D.
Heppen
Heppen is a village in the Belgian province of Limburg that forms part of the municipality of Leopoldsburg.
-
E.
Hertevin
Hertevin is a modern Eastern Aramaic dialect traditionally spoken by a small Christian community from the village of Hertevin in southeastern Turkey.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15945486081908eb3a7b0441c0ef1 |
completed | April 29, 2026, 1:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0e99ca48190ad93201035c819d6 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af2c6151881908f85a7c3c751cea9 |
completed | May 18, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b08e411048190a368214c57c35d5e |
completed | May 18, 2026, 12:41 p.m. |
Created at: April 16, 2026, 8:46 p.m.