Triple
T37300936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston–Dallas |
E925937
|
entity |
| Predicate | hasPlannedOperatorCandidate |
P141921
|
FINISHED |
| Object | Texas Central Partners |
—
|
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: Texas Central Partners | Statement: [Houston–Dallas, hasPlannedOperatorCandidate, Texas Central Partners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlannedOperatorCandidate Context triple: [Houston–Dallas, hasPlannedOperatorCandidate, Texas Central Partners]
-
A.
hasPlannedOperator
chosen
Indicates that an entity has a designated operator who is planned or scheduled to perform an operation or service for it.
-
B.
hasPlannedOperatorType
Indicates that an entity is associated with a specific type of operator that is intended or scheduled to perform an operation or service.
-
C.
hasPlannedPart
Indicates that one entity includes another entity as a component or segment within a planned or scheduled whole.
-
D.
hasPlanner
Indicates that an entity is associated with or assigned a planner responsible for organizing or managing its activities or processes.
-
E.
hasPlannedOwner
Indicates that an entity is intended or scheduled to become the owner of another entity in the future.
- 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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.