Triple
T18999145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Vendôme |
E464897
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Baillou
Baillou is a small commune in the Loir-et-Cher department of central France.
|
E1373149
|
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: Baillou | Statement: [arrondissement of Vendôme, contains, Baillou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baillou Context triple: [arrondissement of Vendôme, contains, Baillou]
-
A.
Gros-Caillou
Gros-Caillou is a residential and historically bourgeois neighborhood in Paris’s 7th arrondissement, situated near landmarks like the Eiffel Tower and the Champ de Mars.
-
B.
Tatihou
Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
-
C.
Boujailles
Boujailles is a small rural commune in the Doubs department of eastern France, situated in the Bourgogne-Franche-Comté region.
-
D.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
E.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
- 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: Baillou Triple: [arrondissement of Vendôme, contains, Baillou]
Generated description
Baillou is a small commune in the Loir-et-Cher department of central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baillou Target entity description: Baillou is a small commune in the Loir-et-Cher department of central France.
-
A.
Gros-Caillou
Gros-Caillou is a residential and historically bourgeois neighborhood in Paris’s 7th arrondissement, situated near landmarks like the Eiffel Tower and the Champ de Mars.
-
B.
Tatihou
Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
-
C.
Boujailles
Boujailles is a small rural commune in the Doubs department of eastern France, situated in the Bourgogne-Franche-Comté region.
-
D.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
E.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d684d37c8190b975f04a47fa7b92 |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b69ded88190a1d8515e1156ad97 |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072cf1fd2081909ce4ac24e6e0da30 |
completed | May 15, 2026, 2:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072d40295c81909c69e763f0ade5bd |
completed | May 15, 2026, 2:27 p.m. |
Created at: April 10, 2026, 12:01 p.m.