Triple
T26779794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RTD light rail |
E670215
|
entity |
| Predicate | firstSegment |
P13843
|
FINISHED |
| Object | Central Corridor |
—
|
NE NERFINISHED |
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: Central Corridor | Statement: [RTD light rail, firstSegment, Central Corridor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSegment Context triple: [RTD light rail, firstSegment, Central Corridor]
-
A.
firstStageSegments
Indicates that the related entities are segments or components that make up the first stage of a multi-stage structure or process.
-
B.
formsInitialSegmentOf
chosen
Indicates that one entity constitutes the starting portion or beginning segment of another, larger entity or sequence.
-
C.
firstPartType
Indicates that one entity is the initial segment or component type within a larger composite or sequence of parts.
-
D.
firstSeries
Indicates that one entity is the initial or earliest series in an ordered sequence of related series.
-
E.
firstLeg
Indicates that one entity represents the initial segment or starting portion of a multi-part journey, sequence, or process involving 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
Created at: April 27, 2026, 4:08 a.m.