Triple
T7572052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Road 60 |
E179266
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Bartow |
E667836
|
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: Bartow | Statement: [State Road 60, passesThroughCity, Bartow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bartow Context triple: [State Road 60, passesThroughCity, Bartow]
-
A.
Bartow
chosen
Bartow is a small city in central Florida that serves as the county seat of Polk County and a regional hub for government and commerce.
-
B.
Eustis
Eustis is a surname of English origin borne by various notable individuals, including military figures and public officials in American history.
-
C.
Pasco
Pasco is a city in southeastern Washington State that forms part of the Tri-Cities region along with Kennewick and Richland.
-
D.
West Walton
West Walton is a village and civil parish in Norfolk, England, known for its historic church and rural setting near the town of Wisbech.
-
E.
Hernando
Hernando is the Spanish form of the given name Ferdinand, historically borne by several notable figures including explorers and monarchs.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f921b458819092e565a4d099bbaf |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856e7c5b48190b6f53f8d14ea753d |
completed | March 28, 2026, 10:32 p.m. |
Created at: March 27, 2026, 3:51 p.m.