Triple
T19752610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quai Saint-Michel |
E474417
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Latin Quarter |
—
|
NE NERFINISHED |
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: Latin Quarter | Statement: [Quai Saint-Michel, locatedIn, Latin Quarter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latin Quarter Context triple: [Quai Saint-Michel, locatedIn, Latin Quarter]
-
A.
Latin Quarter
The Latin Quarter is a vibrant cultural and entertainment district in Galway, Ireland, known for its historic streets, lively pubs, restaurants, and arts venues.
-
B.
Latin Quarter
chosen
The Latin Quarter is a historic Parisian neighborhood famed for its universities, student life, and lively cafés and bookshops.
-
C.
Beaubourg neighborhood
The Beaubourg neighborhood is a lively area in central Paris known for its modern art, street life, and the iconic Centre Pompidou.
-
D.
La Croix-Rousse
La Croix-Rousse is a historic hilltop district in Lyon, France, known for its silk-weaving heritage, steep slopes, and distinctive village-like atmosphere.
-
E.
Gambetta neighborhood
The Gambetta neighborhood is a lively residential and commercial area in eastern Paris known for its local shops, cafés, and proximity to Père Lachaise Cemetery.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529bcb8c8190bcca61a53be86757 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:48 p.m.