Triple
T12898228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nok Air |
E308548
|
entity |
| Predicate | focusCity |
P164
|
FINISHED |
| Object | Hat Yai |
E208703
|
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: Hat Yai | Statement: [Nok Air, focusCity, Hat Yai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hat Yai Context triple: [Nok Air, focusCity, Hat Yai]
-
A.
Hat Yai
chosen
Hat Yai is a major commercial and transportation hub city in southern Thailand, known for its bustling markets and proximity to the Malaysian border.
-
B.
Pathum Thani
Pathum Thani is a central Thai province just north of Bangkok, known for its urban expansion, universities, and industrial zones within the Bangkok Metropolitan Region.
-
C.
Hua Hin
Hua Hin is a popular seaside resort town on the Gulf of Thailand, known for its beaches, royal residences, and relaxed coastal atmosphere.
-
D.
Pattaya
Pattaya is a major Thai coastal city known for its vibrant nightlife, beaches, and role as a leading international tourist resort.
-
E.
Sattahip
Sattahip is a coastal district in Chonburi Province, Thailand, known for its naval base, beaches, and proximity to major tourist destinations like Pattaya.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717f3fc48190b61c8f6f36cd0725 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaca8958819086df70db2ba497a5 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 5:40 p.m.