Triple
T20943487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeBary |
E515781
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Orange City |
—
|
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 City | Statement: [DeBary, adjacentTo, Orange City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orange City Context triple: [DeBary, adjacentTo, Orange City]
-
A.
Orange City
Orange City is the popular nickname of Nagpur, a major city in Maharashtra, India, famed for its extensive orange cultivation and trade.
-
B.
Orange City
chosen
Orange City is a small municipality in central Florida known for its historic charm and proximity to natural springs and outdoor recreation areas.
-
C.
Orange City, Iowa
Orange City, Iowa is a small northwestern Iowa community known for its Dutch heritage, annual Tulip Festival, and role as the cultural and economic hub of Sioux County.
-
D.
Pasco
Pasco is a city in southeastern Washington State that forms part of the Tri-Cities region along with Kennewick and Richland.
-
E.
Pasco
Pasco is a station on Buenos Aires’ historic Line A subway, serving the Balvanera neighborhood in Argentina’s capital.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f95838708190978dfa8bc786fb22 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.