Triple
T29998185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pahang state government |
E762087
|
entity |
| Predicate | significantCityInJurisdiction |
P92856
|
FINISHED |
| Object | Kuantan |
—
|
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: Kuantan | Statement: [Pahang state government, significantCityInJurisdiction, Kuantan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantCityInJurisdiction Context triple: [Pahang state government, significantCityInJurisdiction, Kuantan]
-
A.
jurisdictionCity
Indicates that a city has legal or administrative authority over, or is the governing jurisdiction for, a given entity or matter.
-
B.
capitalCityOfJurisdiction
Indicates that one entity is the primary city serving as the official capital of the specified jurisdiction or governing region.
-
C.
significantCityCovered
Indicates that a significant city lies within the geographic area or scope covered by something (such as a service, event, or phenomenon).
-
D.
significantUrbanArea
chosen
Indicates that a location is classified as a major or important urban center within a broader geographic or administrative context.
-
E.
cityWideSignificance
Indicates that something has importance, impact, or relevance at the scale of an entire city rather than just a local or individual level.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 29, 2026, 6:40 p.m.