Triple
T12388765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Booligal |
E295937
|
entity |
| Predicate | distanceToHayByRoad_km |
P104698
|
FINISHED |
| Object | approximately 80 |
—
|
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 80 | Statement: [Booligal, distanceToHayByRoad_km, approximately 80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHayByRoad_km Context triple: [Booligal, distanceToHayByRoad_km, approximately 80]
-
A.
distanceFromHanaTown (miles)
Indicates the number of miles separating a given place or entity from Hana Town.
-
B.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
C.
isRemoteByRoad
Indicates that one location is difficult or time-consuming to reach from another when traveling by road.
-
D.
approximateDistanceFromHighway1
Indicates the estimated distance between a location and Highway 1, rather than an exact measured value.
-
E.
trailDistanceApprox
Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fcf6aa8819080c9a2407a72db2e |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93fa244148190a960be3ff6f1cf45 |
completed | April 10, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:54 p.m.