Triple
T3935609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Galante |
E90902
|
entity |
| Predicate | mainPort |
P942
|
FINISHED |
| Object | Grand-Bourg |
E398771
|
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: Grand-Bourg | Statement: [Marie-Galante, mainPort, Grand-Bourg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grand-Bourg Context triple: [Marie-Galante, mainPort, Grand-Bourg]
-
A.
Grand-Bourg
chosen
Grand-Bourg is the main town and administrative center of the Caribbean island of Marie-Galante, part of the French overseas region of Guadeloupe.
-
B.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
C.
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.
-
D.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
E.
Noisy-le-Grand
Noisy-le-Grand is a suburban commune in the eastern outskirts of Paris, France, known for its modern architecture and role as a business and educational hub within the Marne-la-Vallée area.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcd29148190a98e4549c9ed8888 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5338d9a7c8190ac5960eab5ae2ada |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:23 p.m.