Triple
T7971608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harmony Borax Works |
E185334
|
entity |
| Predicate | distanceToRailhead |
P80090
|
FINISHED |
| Object | approximately 165 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 165 miles | Statement: [Harmony Borax Works, distanceToRailhead, approximately 165 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToRailhead Context triple: [Harmony Borax Works, distanceToRailhead, approximately 165 miles]
-
A.
distanceToByRail
Indicates the distance between two locations when traveling via railway routes.
-
B.
distanceFromStation
Indicates the measured spatial separation between an entity and a specified station.
-
C.
distanceFromTerminus
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
D.
distanceToBawtry
Indicates the spatial distance between a given entity and the location of Bawtry.
-
E.
distanceFromPennStation
Indicates the physical distance between a given location and Penn Station.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd476108190988a75653a5c56d6 |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:13 p.m.