Triple
T37169032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Thompson House Museum |
E920860
|
entity |
| Predicate | significantCollectionRegion |
P110231
|
FINISHED |
| Object | Thailand |
—
|
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: Thailand | Statement: [Jim Thompson House Museum, significantCollectionRegion, Thailand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantCollectionRegion Context triple: [Jim Thompson House Museum, significantCollectionRegion, Thailand]
-
A.
occupiedRegion
Indicates that an entity has taken control of and is currently holding a specific geographic area or region.
-
B.
represented region
Indicates that one entity serves as a symbolic or formal depiction of a specific geographic or spatial area.
-
C.
significanceArea
chosen
Indicates that a specified area holds particular importance, relevance, or impact within a given context or system.
-
D.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content or context.
-
E.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:15 p.m.