Triple
T26484490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tillamook Head |
E664782
|
entity |
| Predicate | nearestBeachTown |
P145079
|
FINISHED |
| Object | Seaside, Oregon |
—
|
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: Seaside, Oregon | Statement: [Tillamook Head, nearestBeachTown, Seaside, Oregon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestBeachTown Context triple: [Tillamook Head, nearestBeachTown, Seaside, Oregon]
-
A.
nearestMajorBeach
Indicates the relationship where a location is associated with the closest significant or well-known beach to it.
-
B.
nearestCoastalTown
chosen
Indicates that one town is the closest coastal town geographically relative to a given reference location or town.
-
C.
nearestCoastalCity
Indicates that one city is the closest coastal city to another location or city, based on geographic distance.
-
D.
hasBeachNearby
Indicates that one location is situated close enough to another location to have convenient access to a beach.
-
E.
nearestIslandCity
Indicates that one city is the closest city located on an island relative to a given reference location or city.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 12:29 a.m.