Triple
T34634934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agathla Peak |
E889394
|
entity |
| Predicate | distanceToKayenta |
P205494
|
FINISHED |
| Object | approximately 7 miles north |
—
|
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 7 miles north | Statement: [Agathla Peak, distanceToKayenta, approximately 7 miles north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKayenta Context triple: [Agathla Peak, distanceToKayenta, approximately 7 miles north]
-
A.
distanceToSedona
Indicates the measured or calculated spatial distance between a given entity’s location and the location of Sedona.
-
B.
distanceToFlagstaff
Indicates the measured distance between a given entity’s location and the location of Flagstaff.
-
C.
distanceFromTucson
Indicates the spatial distance between a given entity and the location of Tucson.
-
D.
distanceToQuartzsite
Indicates the measured distance from a given location or entity to Quartzsite.
-
E.
distanceFromKetchikan
Indicates the spatial distance between a given location and the city of Ketchikan.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:04 a.m.