Triple
T20565695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jalan Haji Agus Salim |
E504959
|
entity |
| Predicate | partOfCityCenter |
P25976
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Jalan Haji Agus Salim, partOfCityCenter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCityCenter Context triple: [Jalan Haji Agus Salim, partOfCityCenter, true]
-
A.
hasCityCentreLocation
chosen
Indicates that something is located in, or directly associated with, the central area of a city.
-
B.
isLocatedInNorthernOrSouthernPartOfCity
Indicates that an entity is situated either in the northern or southern part of a specified city.
-
C.
hasCoordinateInCityCentreApprox
Indicates that an entity’s location is approximately within the central area of a city, based on its geographic coordinates.
-
D.
cityCentreAccess
Indicates whether an entity has access to, or is reachable within, the central area of a city.
-
E.
notableCityCenter
Indicates that a location serves as a prominent or significant central area within a city.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a228948190b47a3a61f239e00d |
completed | April 20, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.