Triple
T38078447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolanda Saldívar |
E950783
|
entity |
| Predicate | residenceBeforeIncarceration |
P85495
|
FINISHED |
| Object | San Antonio, Texas, United States |
—
|
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: San Antonio, Texas, United States | Statement: [Yolanda Saldívar, residenceBeforeIncarceration, San Antonio, Texas, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenceBeforeIncarceration Context triple: [Yolanda Saldívar, residenceBeforeIncarceration, San Antonio, Texas, United States]
-
A.
residenceBeforeImprisonment
chosen
Indicates the place where an individual lived prior to being imprisoned.
-
B.
residenceBeforeArrest
Indicates that a person lived at a particular residence prior to the time of their arrest.
-
C.
residenceBeforeFugitiveStatus
Indicates that an entity’s place of residence is specified for the period prior to it becoming a fugitive.
-
D.
residenceBeforeCrime
Indicates that an entity’s place of residence existed or was established prior to the occurrence of a specified crime.
-
E.
residenceBeforeOutbreak
Indicates that an entity’s place of residence is specified for the period prior to a particular outbreak 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 3, 2026, 4:21 p.m.