Triple
T38279521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bsharri, Lebanon |
E1022045
|
entity |
| Predicate | distanceToCedarsOfGod |
P204576
|
FINISHED |
| Object | a few kilometers |
—
|
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: a few kilometers | Statement: [Bsharri, Lebanon, distanceToCedarsOfGod, a few kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCedarsOfGod Context triple: [Bsharri, Lebanon, distanceToCedarsOfGod, a few kilometers]
-
A.
distanceFromCedarCity
Indicates the measured distance between a given location and Cedar City.
-
B.
distanceToCottonwood
Indicates the measured spatial distance between a given entity and the location identified as Cottonwood.
-
C.
distanceToProvo
Indicates the measured distance between a given entity or location and Provo.
-
D.
distanceToSanBernardino
Indicates the measured distance between a given entity’s location and the location of San Bernardino.
-
E.
distanceToCrescentCity
Indicates the measured distance between a given location and Crescent City.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 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, 4:30 p.m.