Triple
T8538306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place d’Italie |
E202131
|
entity |
| Predicate | hasNearbyDistrict |
P4647
|
FINISHED |
| Object | Butte-aux-Cailles |
E284953
|
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: Butte-aux-Cailles | Statement: [Place d’Italie, hasNearbyDistrict, Butte-aux-Cailles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butte-aux-Cailles Context triple: [Place d’Italie, hasNearbyDistrict, Butte-aux-Cailles]
-
A.
Butte-aux-Cailles
chosen
Butte-aux-Cailles is a picturesque, village-like neighborhood in Paris known for its cobbled streets, street art, and lively cafés.
-
B.
Trois-Ponts
Trois-Ponts is a small municipality in the province of Liège in Wallonia, Belgium, known for its scenic Ardennes landscape and railway junction.
-
C.
Haine-Saint-Paul
Haine-Saint-Paul is a district or neighborhood within the city of La Louvière in the province of Hainaut, Belgium.
-
D.
Haine-Saint-Pierre
Haine-Saint-Pierre is a district of the city of La Louvière in the province of Hainaut, Belgium, known historically for its industrial and railway heritage.
-
E.
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.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a5c2848190836c612597de83b7 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea86036a881909cd1744cdb5b7a7f |
completed | April 2, 2026, 5:33 p.m. |
Created at: March 30, 2026, 6:18 p.m.