Triple
T37935047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paynes Find |
E946322
|
entity |
| Predicate | distanceFromMountMagnet |
P204486
|
FINISHED |
| Object | about 150 kilometres south |
—
|
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 150 kilometres south | Statement: [Paynes Find, distanceFromMountMagnet, about 150 kilometres south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMountMagnet Context triple: [Paynes Find, distanceFromMountMagnet, about 150 kilometres south]
-
A.
distanceToWitney
Indicates the spatial distance between an entity and the location Witney.
-
B.
distanceFromMina
Indicates the spatial distance measured between Mina and another specified entity or location.
-
C.
distanceFromMossman
Indicates the measured or specified distance between a given entity or location and Mossman.
-
D.
distanceToDenali
Indicates the measured or estimated spatial distance between a given entity and Denali.
-
E.
distanceToWhiteMountainPeak
Indicates the measured or calculated distance between a given entity and the peak of White Mountain.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:20 p.m.