Triple
T10969359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koh Buck Song |
E259190
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Koh |
E259190
|
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: Koh | Statement: [Koh Buck Song, familyName, Koh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koh Context triple: [Koh Buck Song, familyName, Koh]
-
A.
Koh
chosen
Koh is a Korean surname borne by various notable individuals across fields such as law, politics, and the arts.
-
B.
Ko Ma
Ko Ma is a small Thai island known for its tranquil beaches and clear waters, popular with snorkelers and day-trippers exploring the Trang archipelago.
-
C.
Ko Muk
Ko Muk is a small Thai island in the Andaman Sea, known for its tranquil beaches and the famous Emerald Cave, a hidden lagoon accessible only by swimming through a sea tunnel.
-
D.
Kohat
Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
-
E.
Ko Poda
Ko Poda is a small, scenic island in Thailand’s Andaman Sea, known for its white-sand beaches, clear turquoise waters, and limestone cliffs, and is a popular day-trip destination from Krabi.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77198e5408190904b2bb603d1bc16 |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a954a1f481908c5653b8ddb09164 |
completed | April 18, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:24 p.m.