Triple
T38161342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange County regional parks system |
E953024
|
entity |
| Predicate | includesPark |
P22590
|
FINISHED |
| Object | Irvine Regional Park |
E664549
|
NE 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: Irvine Regional Park | Statement: [Orange County regional parks system, includesPark, Irvine Regional Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPark Context triple: [Orange County regional parks system, includesPark, Irvine Regional Park]
-
A.
inPark
Indicates that one entity is located within or inside the boundaries of a park.
-
B.
includesOverseasParks
Indicates that the referenced collection, plan, or offering contains or covers parks located outside the home country.
-
C.
hasParks
chosen
Indicates that one entity possesses, contains, or is associated with one or more parks.
-
D.
regionOfPark
Indicates that one entity is a geographic or administrative region that contains or is designated as a specific park.
-
E.
hasCountryPark
Indicates that a place or administrative area contains or is associated with a designated country park.
- F. None of above.
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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41713b51dc819094d271009baf1767 |
completed | June 28, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.