Triple
T1307186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poitou |
E27905
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Parthenay
Parthenay is a historic fortified town in western France known for its medieval architecture and role as a regional center in the former province of Poitou.
|
E150169
|
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: Parthenay | Statement: [Poitou, majorCity, Parthenay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parthenay Context triple: [Poitou, majorCity, Parthenay]
-
A.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
B.
Langres
Langres is a historic fortified town in northeastern France known for its well-preserved ramparts and as the birthplace of Enlightenment philosopher Denis Diderot.
-
C.
Poissy
Poissy is a commune in the western suburbs of Paris, France, known for hosting Le Corbusier’s iconic modernist Villa Savoye.
-
D.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
E.
Vaux
Vaux is a surname most notably associated with Calvert Vaux, the 19th-century British-American architect and landscape designer who co-designed New York City's Central Park.
- 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: Parthenay Triple: [Poitou, majorCity, Parthenay]
Generated description
Parthenay is a historic fortified town in western France known for its medieval architecture and role as a regional center in the former province of Poitou.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parthenay Target entity description: Parthenay is a historic fortified town in western France known for its medieval architecture and role as a regional center in the former province of Poitou.
-
A.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
B.
Langres
Langres is a historic fortified town in northeastern France known for its well-preserved ramparts and as the birthplace of Enlightenment philosopher Denis Diderot.
-
C.
Poissy
Poissy is a commune in the western suburbs of Paris, France, known for hosting Le Corbusier’s iconic modernist Villa Savoye.
-
D.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
E.
Vaux
Vaux is a surname most notably associated with Calvert Vaux, the 19th-century British-American architect and landscape designer who co-designed New York City's Central Park.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c1368038819089d1091cc43901a3 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbaec736881909645919764d73f5f |
completed | March 7, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69acbbe67f0881908796ae064e72571d |
completed | March 7, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbc8c3cc88190a0764b8d306b40ab |
completed | March 8, 2026, 12:02 a.m. |
Created at: March 1, 2026, 7:51 p.m.