Triple
T4627111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton Lakes |
E101124
|
entity |
| Predicate | trailDistanceFromCrescentMeadow |
P57521
|
FINISHED |
| Object | about 16 miles 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: about 16 miles one way | Statement: [Hamilton Lakes, trailDistanceFromCrescentMeadow, about 16 miles one way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailDistanceFromCrescentMeadow Context triple: [Hamilton Lakes, trailDistanceFromCrescentMeadow, about 16 miles one way]
-
A.
approximateRoundTripDistanceFromTrailhead
Indicates the estimated total distance of a complete out-and-back journey measured from the trailhead.
-
B.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
C.
distanceFromTennantCreek_km
Indicates the distance, measured in kilometers, between an entity and Tennant Creek.
-
D.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
E.
TrailLinkIs
Indicates that one trail segment is connected to or continues from another trail segment.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a0a7b588190bc6552ee5babb198 |
completed | March 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69bd5231db7c8190b38d4fdbad8bf842 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:13 p.m.