Triple
T21698602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Napoléon des Saintes |
E535591
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Terre-de-Haut |
—
|
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: Terre-de-Haut | Statement: [Fort Napoléon des Saintes, hasView, Terre-de-Haut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terre-de-Haut Context triple: [Fort Napoléon des Saintes, hasView, Terre-de-Haut]
-
A.
Terre-de-Haut
chosen
Terre-de-Haut is a small Caribbean island in the Guadeloupe archipelago, known for its picturesque bay, Creole culture, and popular seaside tourism.
-
B.
Hauts-Plateaux
Hauts-Plateaux is an administrative department located within Cameroon's West Region, known for its highland terrain and agricultural activities.
-
C.
Lanteau
Lanteau is a relatively uncommon surname, most notably associated with American character actor William Lanteau.
-
D.
Madière
Madière is a small commune in the Ariège department of southwestern France, situated within the arrondissement of Pamiers.
-
E.
Hauts-Forts
Hauts-Forts is a prominent mountain peak in the French Alps, known for its rugged terrain and popularity among hikers and skiers.
- 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_69e0c46a6ee481908836e1420fb78c9b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b7de9888190bbca7717a32f9888 |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 16, 2026, 6:45 p.m.