Triple
T775043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Triangle |
E16368
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object | Orange County |
E45332
|
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: Orange County | Statement: [The Triangle, containsCounty, Orange County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orange County Context triple: [The Triangle, containsCounty, Orange County]
-
A.
Orange County
chosen
Orange County is a county in North Carolina that includes the university town of Chapel Hill and forms part of the state’s Research Triangle region.
-
B.
Orange County
Orange County is a central Florida county best known for encompassing the city of Orlando and major attractions like Walt Disney World and Universal Orlando Resort.
-
C.
Orange County
Orange County is a county in southeastern New York State, known for its mix of suburban communities, historic sites, and rural landscapes within the Hudson Valley region.
-
D.
Orange County, California
Orange County, California is a populous coastal county in Southern California known for its affluent suburbs, beaches, and attractions like Disneyland.
-
E.
Los Angeles County
Los Angeles County is the most populous county in the United States, encompassing the city of Los Angeles and numerous other municipalities across Southern California.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a73236288190b82d66202f2f7399 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6523d8f4819082396925561acdc4 |
completed | March 10, 2026, 12:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.