Triple
T14722416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Round Valley |
E345847
|
entity |
| Predicate | distanceFromPalmSpringsAerialTramwayStation |
P79369
|
FINISHED |
| Object | about 2 miles by trail |
—
|
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 2 miles by trail | Statement: [Round Valley, distanceFromPalmSpringsAerialTramwayStation, about 2 miles by trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPalmSpringsAerialTramwayStation Context triple: [Round Valley, distanceFromPalmSpringsAerialTramwayStation, about 2 miles by trail]
-
A.
distanceToPalmSprings
chosen
Indicates the spatial distance between a given location or entity and Palm Springs.
-
B.
distanceToSanBernardino
Indicates the measured distance between a given entity’s location and the location of San Bernardino.
-
C.
distanceFromRidgecrest
Indicates the measured distance between a given entity and the location referred to as Ridgecrest.
-
D.
distanceFromLasVegasStrip
Indicates the physical distance between a given location and the Las Vegas Strip.
-
E.
approxDistanceFromEnsenada
Indicates that one entity is located at an approximate distance from the reference location Ensenada.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25d56fc8190871873ca55d49272 |
completed | April 14, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.