Triple
T2356785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Mile Trail |
E47573
|
entity |
| Predicate | hasSwitchbacks |
P38721
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Four Mile Trail, hasSwitchbacks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSwitchbacks Context triple: [Four Mile Trail, hasSwitchbacks, true]
-
A.
hasOnboardSwitch
Indicates that one entity is equipped with a built-in switch located on or within it.
-
B.
hasParallelTransit
Indicates that one transit route, service, or segment runs in parallel to another along a similar path or corridor.
-
C.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
D.
hasBypass
Indicates that one entity includes or is equipped with an alternative route or mechanism that circumvents or avoids another entity or process.
-
E.
hasNumberOfConvergingAvenues
Indicates the number of distinct avenues that meet or converge at a particular location or junction.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abcb802da08190980100444010f91e |
completed | March 7, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69abc5981ce48190a3f7852d28276e11 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcb7ebb708190ba7edffee3c45d8b |
completed | March 7, 2026, 6:53 a.m. |
Created at: March 4, 2026, 7:54 p.m.