Triple
T9831028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horcones |
E238980
|
entity |
| Predicate | distanceToAconcaguaSummitApproxKm |
P90233
|
FINISHED |
| Object | about 15–20 kilometers in straight line |
—
|
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 15–20 kilometers in straight line | Statement: [Horcones, distanceToAconcaguaSummitApproxKm, about 15–20 kilometers in straight line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAconcaguaSummitApproxKm Context triple: [Horcones, distanceToAconcaguaSummitApproxKm, about 15–20 kilometers in straight line]
-
A.
distanceToPeritoMorenoGlacier
Indicates the measured or estimated spatial distance between an entity and the Perito Moreno Glacier.
-
B.
distanceFromLaPazApproximate
Indicates an approximate measure of how far something is from La Paz, typically expressed as a rough distance rather than an exact value.
-
C.
distanceToDenali
Indicates the measured or estimated spatial distance between a given entity and Denali.
-
D.
distanceToWitney
Indicates the spatial distance between an entity and the location Witney.
-
E.
distanceToPyrenees
Indicates the spatial distance between a given location or entity and the Pyrenees.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3297bd88190bf8c53a4ba00e0ae |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:32 p.m.