Triple
T7263530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narathiwat |
E159713
|
entity |
| Predicate | ethnicDemographics |
P25372
|
FINISHED |
| Object | predominantly ethnic Malay |
—
|
LITERAL 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: predominantly ethnic Malay | Statement: [Narathiwat, ethnicDemographics, predominantly ethnic Malay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicDemographics Context triple: [Narathiwat, ethnicDemographics, predominantly ethnic Malay]
-
A.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
B.
racialComposition
Indicates the proportional makeup of different racial groups within a given population or entity.
-
C.
demographicsSource
Indicates the origin or provider from which demographic information about an entity is obtained.
-
D.
demographicsDescriptor
chosen
Indicates a descriptive attribute or classification that characterizes the demographic properties of an entity or group.
-
E.
shareMinorityPopulations
Indicates that two entities have overlapping or similar minority population groups in terms of presence, composition, or distribution.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:57 p.m.