Triple
T16029861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Pasco |
E388815
|
entity |
| Predicate | jurisdiction |
P82
|
FINISHED |
| Object | City of Pasco |
E311812
|
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: City of Pasco | Statement: [Port of Pasco, jurisdiction, City of Pasco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Pasco Context triple: [Port of Pasco, jurisdiction, City of Pasco]
-
A.
City of Plant City
The City of Plant City is a municipality in central Florida best known for its agricultural heritage and annual Florida Strawberry Festival.
-
B.
Pasco
chosen
Pasco is a city in southeastern Washington State that forms part of the Tri-Cities region along with Kennewick and Richland.
-
C.
Pasco
Pasco is a station on Buenos Aires’ historic Line A subway, serving the Balvanera neighborhood in Argentina’s capital.
-
D.
Orange City
Orange City is a small municipality in central Florida known for its historic charm and proximity to natural springs and outdoor recreation areas.
-
E.
Orange City
Orange City is the popular nickname of Nagpur, a major city in Maharashtra, India, famed for its extensive orange cultivation and trade.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1832b0f308190a23edfaf55f3ca25 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf35ae808190aeb154a273c32a70 |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.