Triple
T31826654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forensics Unit (Tampa Police Department) |
E812413
|
entity |
| Predicate | evidenceTypeHandled |
P172641
|
FINISHED |
| Object | fingerprints |
—
|
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: fingerprints | Statement: [Forensics Unit (Tampa Police Department), evidenceTypeHandled, fingerprints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evidenceTypeHandled Context triple: [Forensics Unit (Tampa Police Department), evidenceTypeHandled, fingerprints]
-
A.
usedEvidenceType
Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
-
B.
hasEvidenceItem
Indicates that there exists a specific piece of evidence supporting, illustrating, or justifying the associated entity or claim.
-
C.
providesEvidenceFor
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
D.
hasProcessEvidence
Indicates that there is supporting evidence for a process or procedure associated with the subject in relation to the object.
-
E.
informationTypeHandled
Indicates that an entity is responsible for processing, managing, or dealing with a particular type or category of information.
- F. None of above. chosen
Provenance (4 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b034bc74819091250f91ba5174c0 |
completed | May 3, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 30, 2026, 11:46 p.m.