Triple
T22807256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barstow-Daggett Airport |
E564569
|
entity |
| Predicate | hasCityServed |
P3936
|
FINISHED |
| Object | Daggett |
—
|
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: Daggett | Statement: [Barstow-Daggett Airport, hasCityServed, Daggett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daggett Context triple: [Barstow-Daggett Airport, hasCityServed, Daggett]
-
A.
Daggett
chosen
Daggett is a small unincorporated desert community in San Bernardino County, California, historically known as a railroad and mining town along major transportation routes.
-
B.
Kountze
Kountze is a surname most notably associated with the American banker and financier Herman Kountze.
-
C.
De Witt
De Witt is a Dutch surname most famously associated with Johan de Witt, a prominent 17th-century statesman of the Dutch Republic.
-
D.
Zebulon
Zebulon is a small city in Pike County, Georgia, serving as the county seat and a local hub in the west-central part of the state.
-
E.
Zebulon
Zebulon is a masculine given name of Hebrew origin, traditionally associated with the biblical tribe of Zebulun.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5d41dc819081912d9e29828bfb |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.