Triple
T9555906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South County Trailway |
E230538
|
entity |
| Predicate | conversionToTrail |
P39633
|
FINISHED |
| Object | late 20th century |
—
|
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: late 20th century | Statement: [South County Trailway, conversionToTrail, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionToTrail Context triple: [South County Trailway, conversionToTrail, late 20th century]
-
A.
trailblazerFor
Indicates that one entity serves as a pioneering example, opening the way or setting a precedent for another entity to follow or build upon.
-
B.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
C.
conversionProcess
chosen
Indicates a process in which something is transformed or changed from one state, form, or representation into another.
-
D.
trailsBehind
Indicates that one entity follows or moves after another, remaining at a distance behind it in space, time, or progress.
-
E.
convertedBy
Indicates that one entity has been transformed or changed in form, state, or representation through the action or process performed by another entity.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9927209c8190bbb494fc9003bc99 |
completed | April 1, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:03 p.m.