Triple
T34948787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thailand (filming location) |
E1007925
|
entity |
| Predicate | hasNaturalLocation |
P1094
|
FINISHED |
| Object | Andaman Sea islands |
—
|
NE NERFINISHED |
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: Andaman Sea islands | Statement: [Thailand (filming location), hasNaturalLocation, Andaman Sea islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNaturalLocation Context triple: [Thailand (filming location), hasNaturalLocation, Andaman Sea islands]
-
A.
isNaturalIn
Indicates that something occurs, exists, or develops in a place or context as a native or inherent part of it, without artificial introduction.
-
B.
hasNaturalFeature
chosen
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
-
C.
hasNaturalAreaType
Indicates that an entity is associated with or classified by a specific type of natural area (e.g., forest, wetland, grassland).
-
D.
hasNature
Indicates that something possesses, exhibits, or is characterized by a particular inherent quality, essence, or fundamental type.
-
E.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
- F. None of above.
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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff29d831b881908d485609e0fc1d0b |
completed | May 9, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_69ff28f9f9e4819087f3402735de66c7 |
completed | May 9, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4 p.m.