Triple
T3270116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loir |
E68625
|
entity |
| Predicate | flowsThroughTown |
P42402
|
FINISHED |
| Object | Illiers-Combray |
E258299
|
NE FINISHED |
How this triple was built (2 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: Illiers-Combray | Statement: [Loir, flowsThroughTown, Illiers-Combray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Illiers-Combray Context triple: [Loir, flowsThroughTown, Illiers-Combray]
-
A.
Illiers-Combray
chosen
Illiers-Combray is a commune in northern France’s Eure-et-Loir department, best known as the model for “Combray” in Marcel Proust’s novel "In Search of Lost Time."
-
B.
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.
-
C.
Le Plessis-Pâté
Le Plessis-Pâté is a small commune in the Essonne department in the Île-de-France region of northern France.
-
D.
Les Mureaux
Les Mureaux is a suburban commune in north-central France known for its aerospace industry and location along the Seine, west of Paris.
-
E.
Lorraine Perigord
Lorraine Perigord is best known as the second wife of American broadcast journalist Mike Wallace, with whom she was married during the 1940s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff349148190beae8c0994b7ad83 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28efded588190bd6c361e5298b496 |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.