Triple
T629008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windward Islands |
E15883
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Mustique |
E71607
|
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: Mustique | Statement: [Windward Islands, hasIsland, Mustique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mustique Context triple: [Windward Islands, hasIsland, Mustique]
-
A.
Mustique
chosen
Mustique is a small, exclusive private island in the Caribbean renowned as a luxury retreat for celebrities and the wealthy.
-
B.
Tea Cake
Tea Cake is a charming, free-spirited gambler and laborer who becomes Janie Crawford’s great love and transformative partner in Zora Neale Hurston’s novel "Their Eyes Were Watching God."
-
C.
Jules Reyes
Jules Reyes is a character in the Halo universe, known as a close associate and ally of Spartan-IV Amaya (Amara) Namani within the UNSC.
-
D.
Armand
Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
-
E.
Raymond
Raymond is the furry blue sea-dog mascot of Major League Baseball’s Tampa Bay Rays, known for his playful antics at the team’s home games.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e5b5a308190a62165f9275e2f5f |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56938be6481909a8eba01f5d856c1 |
completed | March 2, 2026, 10:40 a.m. |
Created at: March 1, 2026, 7:35 p.m.