Triple
T22986078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camarones |
E571610
|
entity |
| Predicate | lineTerminusDirection1 |
P3384
|
FINISHED |
| Object | El Rosario |
—
|
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: El Rosario | Statement: [Camarones, lineTerminusDirection1, El Rosario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Rosario Context triple: [Camarones, lineTerminusDirection1, El Rosario]
-
A.
El Rosario
El Rosario is a municipality on the island of Tenerife in Spain’s Canary Islands, known for its coastal landscapes and proximity to the island’s capital, Santa Cruz de Tenerife.
-
B.
El Rosario
El Rosario is a municipal district within the municipality of San Juan de la Maguana in the San Juan Province of the Dominican Republic.
-
C.
El Rosario
El Rosario is a municipality located within the La Paz Department of Honduras, known for its rural communities and local agricultural activities.
-
D.
El Rosario
El Rosario is a municipality and town located in the Carazo department of southwestern Nicaragua.
-
E.
El Rosario
chosen
El Rosario is a major Mexico City transit hub and neighborhood that serves as a key terminus and interchange point for multiple public transportation lines.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182996ee08190ab74014ee7ecac2b |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.