Triple
T34651506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saligao |
E889848
|
entity |
| Predicate | nearestTouristBeachArea |
P174400
|
FINISHED |
| Object | Calangute–Candolim belt |
—
|
NE NERFINISHED |
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: Calangute–Candolim belt | Statement: [Saligao, nearestTouristBeachArea, Calangute–Candolim belt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestTouristBeachArea Context triple: [Saligao, nearestTouristBeachArea, Calangute–Candolim belt]
-
A.
nearestMajorBeach
Indicates the relationship where a location is associated with the closest significant or well-known beach to it.
-
B.
nearestTouristDestination
chosen
Indicates that one location is the closest tourist destination to another specified location.
-
C.
hasBeachNearby
Indicates that one location is situated close enough to another location to have convenient access to a beach.
-
D.
nearestCoastalTown
Indicates that one town is the closest coastal town geographically relative to a given reference location or town.
-
E.
nearbyResortArea
Indicates that a resort area is located close to or within a short distance of a specified place or entity.
- 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_69f349d825c88190bfc6170ac9281260 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: May 1, 2026, 2:04 a.m.