Triple
T6449673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clermont |
E139830
|
entity |
| Predicate | distanceFromOrlando |
P71076
|
FINISHED |
| Object | approximately 22 miles west |
—
|
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 22 miles west | Statement: [Clermont, distanceFromOrlando, approximately 22 miles west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromOrlando Context triple: [Clermont, distanceFromOrlando, approximately 22 miles west]
-
A.
distanceFromMiami
Indicates the spatial distance between a given entity’s location and the city of Miami.
-
B.
distanceToFlorida
Indicates the spatial distance between a given entity’s location and the state of Florida.
-
C.
distanceFromKeyWest
Indicates the measured spatial distance between a given entity or location and Key West.
-
D.
distanceFromOrange
Indicates the spatial distance between a given entity and an orange as the reference point.
-
E.
distanceFromHonolulu
Indicates the spatial distance between a given location and Honolulu.
- F. None of above. chosen
Provenance (4 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b2c7bc81908c683ec22cad9628 |
completed | March 22, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c068cb3b888190812ed56f2fdd45ed |
completed | March 22, 2026, 10:10 p.m. |
Created at: March 22, 2026, 4:47 p.m.