Triple
T31847485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukit Aman, Kuala Lumpur |
E812979
|
entity |
| Predicate | coordinatesRegionally |
P177364
|
FINISHED |
| Object | state police contingents in Malaysia |
—
|
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: state police contingents in Malaysia | Statement: [Bukit Aman, Kuala Lumpur, coordinatesRegionally, state police contingents in Malaysia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinatesRegionally Context triple: [Bukit Aman, Kuala Lumpur, coordinatesRegionally, state police contingents in Malaysia]
-
A.
countyRegion
Indicates that a county is located within, or is administratively part of, a larger geographic region.
-
B.
registrationRegion
Indicates the geographic or administrative region in which an entity is officially registered.
-
C.
campaignRegion
Indicates the geographic area or territory in which a campaign is conducted or targeted.
-
D.
eligibleRegion
Indicates the geographic area within which something (such as an offer, service, or rule) is valid, applicable, or permitted.
-
E.
coordinatesRegionalDevelopment
Indicates overseeing and aligning development activities across different areas or regions to ensure cohesive and balanced regional growth.
- F. None of above. chosen
Provenance (4 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 30, 2026, 11:50 p.m.