Triple
T36756289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Short |
E908060
|
entity |
| Predicate | policeDepartmentInCharge |
P13246
|
FINISHED |
| Object | Los Angeles Police Department |
—
|
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: Los Angeles Police Department | Statement: [Elizabeth Short, policeDepartmentInCharge, Los Angeles Police Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeDepartmentInCharge Context triple: [Elizabeth Short, policeDepartmentInCharge, Los Angeles Police Department]
-
A.
policeDepartmentType
Indicates the specific organizational category or classification of a police department (e.g., municipal, state, federal).
-
B.
policeBureau
Indicates that an entity functions as or is associated with a police bureau or police department.
-
C.
hasPoliceDepartment
chosen
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
D.
policePrecinct
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
-
E.
policeDepartmentDivision
Indicates that one entity is an organizational division, unit, or subdivision within a police department.
- 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_69f76e779bec8190be0e1f87a131e0f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 3, 2026, 4:12 p.m.