Triple
T38078451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolanda Saldívar |
E950783
|
entity |
| Predicate | trialLocationChangeReason |
P17969
|
FINISHED |
| Object | pretrial publicity in Corpus Christi |
—
|
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: pretrial publicity in Corpus Christi | Statement: [Yolanda Saldívar, trialLocationChangeReason, pretrial publicity in Corpus Christi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trialLocationChangeReason Context triple: [Yolanda Saldívar, trialLocationChangeReason, pretrial publicity in Corpus Christi]
-
A.
causeOfChangeOfDestination
Indicates that one entity is the reason or trigger for another entity changing its intended destination.
-
B.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its state.
-
C.
reasonForRelocation
Indicates the underlying cause, motivation, or circumstance that led an entity to move from one location to another.
-
D.
hasReasonForTrialLocation
chosen
Indicates that there is an underlying reason or justification for choosing a particular location for a trial.
-
E.
reasonForLocation
Indicates the cause, purpose, or justification for why an entity is at a particular location.
- 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.