Triple
T10175739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kien Giang |
E235845
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Phu Quoc |
E195430
|
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: Phu Quoc | Statement: [Kien Giang, hasIsland, Phu Quoc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phu Quoc Context triple: [Kien Giang, hasIsland, Phu Quoc]
-
A.
Phu Quoc
chosen
Phu Quoc is a popular Vietnamese island known for its white-sand beaches, tropical forests, and growing resort tourism industry in the Gulf of Thailand.
-
B.
Koh Tang
Koh Tang is a small Cambodian island in the Gulf of Thailand, best known as the site of the final major U.S. military engagement of the Vietnam War during the Mayaguez incident in 1975.
-
C.
Paoha Island
Paoha Island is a large volcanic island in California’s Mono Lake, formed by relatively recent volcanic activity and known for its striking, barren landscape.
-
D.
Cô Tô Islands
Cô Tô Islands are a scenic archipelago in northeastern Vietnam known for their clear waters, unspoiled beaches, and growing eco-tourism.
-
E.
Koh Rong
Koh Rong is a popular Cambodian island in the Gulf of Thailand known for its white-sand beaches, clear waters, and laid-back resort atmosphere.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd3a2688190bce277bffffcbf8b |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3178844c48190af952ac30a4d6d97 |
completed | April 6, 2026, 2:16 a.m. |
Created at: March 30, 2026, 9:11 p.m.