Triple
T29172515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OC Flex |
E739508
|
entity |
| Predicate | hasServiceZones |
P13639
|
FINISHED |
| Object | specific neighborhoods and communities in Orange County |
—
|
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: specific neighborhoods and communities in Orange County | Statement: [OC Flex, hasServiceZones, specific neighborhoods and communities in Orange County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasServiceZones Context triple: [OC Flex, hasServiceZones, specific neighborhoods and communities in Orange County]
-
A.
hasServiceAreas
chosen
Indicates that an entity provides services within, or is operational across, specific geographic or functional areas.
-
B.
hasZone
Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
-
C.
hasDRSZones
Indicates that one entity possesses, defines, or is associated with specific DRS (Disaster Recovery Site or similarly defined) zones.
-
D.
numberOfZones
Indicates the quantity of distinct zones associated with or contained by a given entity.
-
E.
hasZoneStatus
Indicates that a specified zone currently possesses a particular status or condition.
- 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_69f07cb6394c8190ab7842c48e699e2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
Created at: April 28, 2026, 11:53 a.m.