Triple
T11196177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogunquit |
E264925
|
entity |
| Predicate | MarginalWayLength |
P18078
|
FINISHED |
| Object | approximately 1.25 miles |
—
|
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: approximately 1.25 miles | Statement: [Ogunquit, MarginalWayLength, approximately 1.25 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MarginalWayLength Context triple: [Ogunquit, MarginalWayLength, approximately 1.25 miles]
-
A.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
-
B.
mainStraightLengthKm
Indicates the length, measured in kilometers, of the primary straight segment associated with the entity.
-
C.
approximateCircuitLengthMi
Indicates the approximate total length of a circuit, measured in miles.
-
D.
hasMainStraightLengthKm
Indicates the length in kilometers of the primary or main straight segment associated with an entity.
-
E.
trailLengthApprox
chosen
Indicates an approximate measurement of the total length of a trail.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c082fc8190866c574f698b59ef |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf83464819087529d47d025d313 |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:29 p.m.