Triple
T3726264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Pine Key |
E81756
|
entity |
| Predicate | distanceToKeyWest |
P39722
|
FINISHED |
| Object | about 30 miles east |
—
|
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: about 30 miles east | Statement: [Big Pine Key, distanceToKeyWest, about 30 miles east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKeyWest Context triple: [Big Pine Key, distanceToKeyWest, about 30 miles east]
-
A.
distanceFromKeyWest
chosen
Indicates the measured spatial distance between a given entity or location and Key West.
-
B.
distanceFromMiami
Indicates the spatial distance between a given entity’s location and the city of Miami.
-
C.
distanceToFlorida
Indicates the spatial distance between a given entity’s location and the state of Florida.
-
D.
distanceToCancun
Indicates the measured or calculated spatial distance between a given entity and the location of Cancun.
-
E.
distanceToHavana
Indicates the measured spatial distance between a given entity’s location and the city of Havana.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf669d48190852aaeef70265404 |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc0452f5081909c79e114a86cce8c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.