Triple
T22456892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paso Robles, California |
E555139
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Paso |
—
|
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: Paso | Statement: [Paso Robles, California, nickname, Paso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paso Context triple: [Paso Robles, California, nickname, Paso]
-
A.
Paso
chosen
Paso is a Spanish-language surname borne by various notable individuals, including Argentine politician and lawyer Juan José Paso.
-
B.
Paso de los Libres
Paso de los Libres is a border city in northeastern Argentina, located on the Uruguay River opposite the Brazilian city of Uruguaiana and serving as an important commercial and transport hub.
-
C.
Paso Dorotea
Paso Dorotea is a mountain pass and international border crossing in the Patagonian Andes connecting southern Argentina and Chile.
-
D.
Paso de Sico
Paso de Sico is a high-altitude mountain pass in the Andes that serves as an international road crossing between northwestern Argentina and northern Chile.
-
E.
Tortosendo
Tortosendo is a civil parish in the municipality of Covilhã in central Portugal, known historically for its textile industry.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7c428c8190847a259eef969525 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.