Triple
T3595611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shi Shi Beach |
E76132
|
entity |
| Predicate | trailDistanceApproxMiles |
P18078
|
FINISHED |
| Object | 2.0–3.0 one way |
—
|
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: 2.0–3.0 one way | Statement: [Shi Shi Beach, trailDistanceApproxMiles, 2.0–3.0 one way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailDistanceApproxMiles Context triple: [Shi Shi Beach, trailDistanceApproxMiles, 2.0–3.0 one way]
-
A.
approximateLengthInMiles
Indicates the estimated distance or extent of something measured in miles.
-
B.
trailLengthApprox
chosen
Indicates an approximate measurement of the total length of a trail.
-
C.
approximateRoundTripDistanceFromTrailhead
Indicates the estimated total distance of a complete out-and-back journey measured from the trailhead.
-
D.
distanceTraveled
Indicates the total length of the path an entity has moved over a period of time or between two points.
-
E.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15f41cc819085b3e897d823757d |
completed | March 8, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69adb83b66708190bb9d2f23d6fd308e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.