Triple
T27003183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican Hat, Utah |
E680167
|
entity |
| Predicate | distanceToMonumentValley |
P198621
|
FINISHED |
| Object | approximately 20–25 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: approximately 20–25 miles | Statement: [Mexican Hat, Utah, distanceToMonumentValley, approximately 20–25 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMonumentValley Context triple: [Mexican Hat, Utah, distanceToMonumentValley, approximately 20–25 miles]
-
A.
distanceFromMina
Indicates the spatial distance measured between Mina and another specified entity or location.
-
B.
distanceFromThebes
Indicates the spatial distance between a given location or entity and the city of Thebes.
-
C.
distanceToUluru
Indicates the spatial distance between a given entity and Uluru.
-
D.
distanceToPetra
Indicates the spatial distance between a given entity or location and Petra.
-
E.
distanceToFourCornersMonumentInMiles
Indicates the numerical distance, measured in miles, between an entity’s location and the Four Corners Monument.
- 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_69eeeb52908c8190bd246244686aa455 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fef8c3f2388190b995ec173512945a |
completed | May 9, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69fef65975608190960b78d27e806d4f |
completed | May 9, 2026, 8:54 a.m. |
| PDg | Predicate description generation | batch_69fef8c2cdd881908c6f44e4dfa5ffd0 |
completed | May 9, 2026, 9:05 a.m. |
Created at: April 27, 2026, 6:59 a.m.