Triple
T21709333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirador de San Cristóbal |
E535857
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | San Cristóbal |
—
|
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: San Cristóbal | Statement: [Mirador de San Cristóbal, namedAfter, San Cristóbal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Cristóbal Context triple: [Mirador de San Cristóbal, namedAfter, San Cristóbal]
-
A.
San Cristóbal
San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
-
B.
San Cristóbal
San Cristóbal is the former name of the historic highland city now known as San Cristóbal de las Casas in the Mexican state of Chiapas.
-
C.
San Cristóbal
San Cristóbal is a major Andean city in western Venezuela and the capital of Táchira state, known as a regional commercial and cultural center near the Colombian border.
-
D.
San Cristóbal
San Cristóbal is a department in northwestern Nicaragua known for its agricultural economy and for containing the active San Cristóbal volcano, the highest volcano in the country.
-
E.
San Cristóbal
San Cristóbal is a municipality in western Cuba located within Artemisa Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5321d34819091f3cd03f7b407c0 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.