Triple
T14155266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilpa |
E350798
|
entity |
| Predicate | distanceToMajorTown |
P60767
|
FINISHED |
| Object | approximately 250 km from Broken Hill |
—
|
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 250 km from Broken Hill | Statement: [Tilpa, distanceToMajorTown, approximately 250 km from Broken Hill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMajorTown Context triple: [Tilpa, distanceToMajorTown, approximately 250 km from Broken Hill]
-
A.
nearestTownDistance
Indicates the distance from a given location to the closest town.
-
B.
distanceFromMajorCity
chosen
Indicates the measured distance between a given location and a specified major city.
-
C.
distanceToWokingTownCentre
Indicates the spatial distance between a given location and the center of Woking town.
-
D.
distanceToReadingTownCentre
Indicates the measured distance between a given location and the centre of Reading town.
-
E.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
- F. None of above.
Provenance (3 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6135744c81909a43d659f5fe2895 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:58 a.m.