Triple
T2559023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas's 25th congressional district |
E57196
|
entity |
| Predicate | stretchesThrough |
P34612
|
FINISHED |
| Object | central Texas |
—
|
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: central Texas | Statement: [Texas's 25th congressional district, stretchesThrough, central Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stretchesThrough Context triple: [Texas's 25th congressional district, stretchesThrough, central Texas]
-
A.
isPassedThroughBy
Indicates that something serves as a medium, route, or channel through which another thing moves, flows, or is transmitted.
-
B.
passesUnder
Indicates that one entity moves or extends beneath another entity, typically crossing below it without direct contact.
-
C.
passesThroughArea
chosen
Indicates that an entity moves or extends through the spatial region defined by another entity or area.
-
D.
hasLongerReachThan
Indicates that one entity can extend, influence, or physically reach farther than another entity.
-
E.
crossesBetween
Indicates that one entity passes from one side of a second entity to the other, traversing the space between two reference points or boundaries associated with that second 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.