Triple
T38568248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taman Muda |
E928287
|
entity |
| Predicate | hasLocalAmenityType |
P2836
|
FINISHED |
| Object | schools |
—
|
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: schools | Statement: [Taman Muda, hasLocalAmenityType, schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalAmenityType Context triple: [Taman Muda, hasLocalAmenityType, schools]
-
A.
hasRegionalAmenity
Indicates that a region provides or contains a specific amenity or facility within its area.
-
B.
hasCivicAmenity
Indicates that an entity possesses, provides, or is associated with a public facility or service intended for community use.
-
C.
hasAmenityAccessTo
Indicates that an entity has the right or ability to use or benefit from a specified amenity or facility.
-
D.
hasNearbyInfrastructureType
Indicates that an entity is located close to infrastructure of a specified type.
-
E.
hasFacilityType
chosen
Indicates that an entity possesses or is associated with a specific type or category of facility.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffdd05d1908190957deb11392f4595 |
completed | May 10, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69ffdc0d33c881908b3483bee8a96540 |
completed | May 10, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:32 p.m.