Triple
T29269164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pantai Blue Lagoon |
E742062
|
entity |
| Predicate | hasApproxDistanceFromPortDicksonTown |
P182758
|
FINISHED |
| Object | about 15 kilometers |
—
|
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: about 15 kilometers | Statement: [Pantai Blue Lagoon, hasApproxDistanceFromPortDicksonTown, about 15 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproxDistanceFromPortDicksonTown Context triple: [Pantai Blue Lagoon, hasApproxDistanceFromPortDicksonTown, about 15 kilometers]
-
A.
distanceFromGeorgeTown
Indicates the measured spatial distance between a given location and George Town.
-
B.
distanceToJohorBahruCityCentre
Indicates the spatial distance between an entity and the city center of Johor Bahru.
-
C.
distanceFromKualaLumpur
Indicates the spatial distance between a given location or entity and Kuala Lumpur.
-
D.
nearCityOnSingaporeSide
Indicates that one entity is located close to a city that lies on the Singapore side of a relevant boundary or region.
-
E.
distanceToAlorSetar_km
Indicates the distance, measured in kilometers, from a given location to Alor Setar.
- 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_69f0912124d48190a046642b69407f4c |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7908ec35881909a42f954fb9fa16e |
completed | May 3, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78fd3fd888190b7db0b563f298585 |
completed | May 3, 2026, 6:11 p.m. |
Created at: April 28, 2026, 12:47 p.m.