Triple
T15613232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAPD Mounted Platoon |
E375349
|
entity |
| Predicate | publicInteraction |
P80430
|
FINISHED |
| Object | frequent contact with community members |
—
|
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: frequent contact with community members | Statement: [LAPD Mounted Platoon, publicInteraction, frequent contact with community members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicInteraction Context triple: [LAPD Mounted Platoon, publicInteraction, frequent contact with community members]
-
A.
interactionWithHumans
chosen
Indicates a relationship where an entity engages in some form of contact, communication, or mutual influence with humans.
-
B.
intendedAudienceInteraction
Indicates that one entity is the target group or audience with whom another entity is meant to interact or engage.
-
C.
typicalInteraction
Indicates the usual or most common way in which two entities interact or relate to each other.
-
D.
primaryInteraction
Indicates the main or most significant interaction occurring between the involved entities.
-
E.
communityActivity
Indicates that an entity participates in, contributes to, or is involved with activities organized for or by a community.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8148a0819087d6d69cc84487ca |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:13 a.m.