Triple
T7789370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phang Nga |
E187336
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Takua Pa |
E688030
|
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: Takua Pa | Statement: [Phang Nga, contains, Takua Pa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takua Pa Context triple: [Phang Nga, contains, Takua Pa]
-
A.
Takua Pa
chosen
Takua Pa is a historic coastal town in southern Thailand known for its tin-mining heritage and well-preserved Sino-Portuguese architecture.
-
B.
Utupua
Utupua is a small, remote island in the Santa Cruz Islands group of the Solomon Islands in the South Pacific Ocean.
-
C.
Maungaturoto
Maungaturoto is a small rural town in northern New Zealand known for its farming community and location near the Kaipara Harbour.
-
D.
Kahola
Kahola is an ancient Vedic sage mentioned in Hindu scriptures, notably as a participant in philosophical dialogues in the Upanishads.
-
E.
Matakohe
Matakohe is a small rural settlement in New Zealand best known for its Kauri Museum and historic connections to the kauri gum and timber industries.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7ea13f08190a60c5f1863bce816 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf62c8568819090c058b0c55b7865 |
completed | March 30, 2026, 10:16 p.m. |
Created at: March 30, 2026, 4:25 p.m.