Triple
T16929506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prescott Valley, Arizona |
E410665
|
entity |
| Predicate | distanceToPrescott |
P124788
|
FINISHED |
| Object | approximately 8 miles east |
—
|
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 8 miles east | Statement: [Prescott Valley, Arizona, distanceToPrescott, approximately 8 miles east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPrescott Context triple: [Prescott Valley, Arizona, distanceToPrescott, approximately 8 miles east]
-
A.
distanceToPrescottInMiles
Indicates the numerical distance, measured in miles, between a given entity and Prescott.
-
B.
distanceToFlagstaff
Indicates the measured distance between a given entity’s location and the location of Flagstaff.
-
C.
distanceToPhoenix
Indicates the measured or estimated distance between a given entity’s location and the city of Phoenix.
-
D.
distanceToSedona
Indicates the measured or calculated spatial distance between a given entity’s location and the location of Sedona.
-
E.
distanceToPreston
Indicates the spatial distance between a given entity and the location named Preston.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf23873c8190bdc9121d6c3850e2 |
completed | April 18, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e32d7aae948190bc238d765795688c |
completed | April 18, 2026, 7:06 a.m. |
Created at: April 10, 2026, 5:30 a.m.