Triple
T32716718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arena of Stars |
E836539
|
entity |
| Predicate | locatedInMountainResort |
P204033
|
FINISHED |
| Object | Genting Highlands hill resort |
E204822
|
NE 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: Genting Highlands hill resort | Statement: [Arena of Stars, locatedInMountainResort, Genting Highlands hill resort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInMountainResort Context triple: [Arena of Stars, locatedInMountainResort, Genting Highlands hill resort]
-
A.
locatedInHillStation
Indicates that something is situated within or belongs to a geographic area recognized as a hill station.
-
B.
locatedInMountain
Indicates that something is situated within, on, or as part of a mountain.
-
C.
locatedInMountainRangeRegion
Indicates that a place or geographic entity is situated within the area covered by a specific mountain range.
-
D.
locatedInHills
Indicates that something is situated within or among hilly terrain or a region characterized by hills.
-
E.
locatedInResortTown
Indicates that something is situated within the boundaries of a town that is primarily known as a resort or vacation destination.
- F. None of above. chosen
Provenance (5 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a030f1480148190a5e8c8926ded252c |
completed | May 12, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36655b6df88190882de95dc44d1def |
completed | June 20, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_6a030e7f5fa481909696733defefcc20 |
completed | May 12, 2026, 11:26 a.m. |
| PDg | Predicate description generation | batch_6a030f139b688190b3611d96b091c09e |
completed | May 12, 2026, 11:29 a.m. |
Created at: May 1, 2026, 1:11 a.m.