Triple
T9668420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highland branch |
E233763
|
entity |
| Predicate | usedForAfterConversion |
P98
|
FINISHED |
| Object | light rail transit |
—
|
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: light rail transit | Statement: [Highland branch, usedForAfterConversion, light rail transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForAfterConversion Context triple: [Highland branch, usedForAfterConversion, light rail transit]
-
A.
functionAfterConversion
Indicates that one function or behavior occurs as a result of, or is valid only after, a specified conversion has taken place.
-
B.
usedFor
chosen
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
C.
afterConversionKnownAs
Indicates that an entity is referred to by a new name or identifier after undergoing a conversion or transformation.
-
D.
convertedFor
Indicates that one entity has been transformed, adapted, or reformatted specifically for use, compatibility, or suitability with another entity.
-
E.
commandedByAfterConversion
Indicates that an entity comes under the command or authority of another entity as a result of a conversion or transformation event.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3c06e4819080c1b8e66faa482f |
completed | April 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b3239c8190b3ae3b9bd121e4bd |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:15 p.m.