Triple
T2876310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flagstaff |
E56886
|
entity |
| Predicate | distanceToGrandCanyonSouthRim |
P43472
|
FINISHED |
| Object | about 80 miles |
—
|
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 80 miles | Statement: [Flagstaff, distanceToGrandCanyonSouthRim, about 80 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToGrandCanyonSouthRim Context triple: [Flagstaff, distanceToGrandCanyonSouthRim, about 80 miles]
-
A.
distanceToFlagstaff
Indicates the measured distance between a given entity’s location and the location of Flagstaff.
-
B.
distanceToPhoenix
Indicates the measured or estimated distance between a given entity’s location and the city of Phoenix.
-
C.
distanceFromMina
Indicates the spatial distance measured between Mina and another specified entity or location.
-
D.
approximateRoundTripDistanceFromTrailhead
Indicates the estimated total distance of a complete out-and-back journey measured from the trailhead.
-
E.
distanceFromSocorro
Indicates the spatial distance between an entity and the reference location Socorro.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe0061d048190bb1e5a01e7ceb0e2 |
completed | March 7, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_69abdd142e4c8190b424cb0c5ff40d04 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde2cdcc48190827195d3ae70aa19 |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 10:03 p.m.