Triple
T37102589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keats Island |
E918743
|
entity |
| Predicate | nearestMainlandCommunity |
P169892
|
FINISHED |
| Object | Horseshoe Bay |
—
|
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: Horseshoe Bay | Statement: [Keats Island, nearestMainlandCommunity, Horseshoe Bay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMainlandCommunity Context triple: [Keats Island, nearestMainlandCommunity, Horseshoe Bay]
-
A.
nearbyMainlandArea
chosen
Indicates that one area is located close to or adjacent to a mainland area.
-
B.
nearestMainlandPoint
Indicates the relationship where a location is associated with the closest point on the mainland to that location.
-
C.
nearestCoastalTown
Indicates that one town is the closest coastal town geographically relative to a given reference location or town.
-
D.
nearestMainlandProvince
Indicates the relationship where a given location or island is associated with the geographically closest province on the mainland.
-
E.
nearestCoastalCity
Indicates that one city is the closest coastal city to another location or city, based on geographic distance.
- 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_69f76e9b99c8819096164b21ff5bd996 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:14 p.m.