Triple
T24334035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prado Dam |
E613327
|
entity |
| Predicate | protectsCounty |
P132993
|
FINISHED |
| Object | Orange County, California |
—
|
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: Orange County, California | Statement: [Prado Dam, protectsCounty, Orange County, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protectsCounty Context triple: [Prado Dam, protectsCounty, Orange County, California]
-
A.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
B.
includesCounty
Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
-
C.
policedCounty
Indicates that a law enforcement body has jurisdiction over, and is responsible for policing, a particular county.
-
D.
protectsArea
chosen
Indicates that one entity serves to guard, defend, or preserve a particular area or region from harm or intrusion.
-
E.
protects
Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292f381b08190b529a765a5d5e89b |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:56 a.m.