Triple
T8340296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istiqlal Mosque |
E195891
|
entity |
| Predicate | locationRelativeToLandmark |
P53174
|
FINISHED |
| Object | north of Merdeka Square |
—
|
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: north of Merdeka Square | Statement: [Istiqlal Mosque, locationRelativeToLandmark, north of Merdeka Square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationRelativeToLandmark Context triple: [Istiqlal Mosque, locationRelativeToLandmark, north of Merdeka Square]
-
A.
proximityToLandmark
chosen
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
-
B.
mapLocation
Indicates a relationship where an entity is associated with a specific position or area on a map.
-
C.
objectLocation
Indicates that one entity is located at, in, or on another entity or spatial region.
-
D.
positionRelativeToCoast
Indicates the spatial relationship of something to a coastline, such as its distance or orientation relative to the coast.
-
E.
coordinateLocation
Indicates that an entity is located at, or associated with, a specific geographic coordinate or set of coordinates.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd7a3888190b54306ed862aded4 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:57 p.m.