Triple
T38414299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meteor Crater |
E901562
|
entity |
| Predicate | distanceToWinslow |
P204643
|
FINISHED |
| Object | about 18 kilometers 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: about 18 kilometers west | Statement: [Meteor Crater, distanceToWinslow, about 18 kilometers west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWinslow Context triple: [Meteor Crater, distanceToWinslow, about 18 kilometers west]
-
A.
distanceToPrescott
Indicates the measured or calculated distance between a given entity or location and Prescott.
-
B.
distanceToFlagstaff
Indicates the measured distance between a given entity’s location and the location of Flagstaff.
-
C.
distanceToSedona
Indicates the measured or calculated spatial distance between a given entity’s location and the location of Sedona.
-
D.
distanceToPhoenix
Indicates the measured or estimated distance between a given entity’s location and the city of Phoenix.
-
E.
distanceToWinnemucca
Indicates the spatial distance between a given entity’s location and the location of Winnemucca.
- 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:31 p.m.