Triple
T16645010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calzada de Tlalpan |
E404444
|
entity |
| Predicate | hasNearbyMetroStation |
P26735
|
FINISHED |
| Object | Pino Suárez |
—
|
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: Pino Suárez | Statement: [Calzada de Tlalpan, hasNearbyMetroStation, Pino Suárez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pino Suárez Context triple: [Calzada de Tlalpan, hasNearbyMetroStation, Pino Suárez]
-
A.
Pino Suárez
chosen
Pino Suárez is a public transit station in Mexico City that serves as a stop on the Metrobús Line 4 corridor.
-
B.
Arturo Sánchez
Arturo Sánchez is the son of legendary Chilean footballer Leonel Sánchez.
-
C.
Vicente Suárez
Vicente Suárez was a young Mexican military cadet celebrated as one of the Niños Héroes for his heroic death defending Chapultepec Castle during the Mexican–American War.
-
D.
Alberto Méndez
Alberto Méndez was a Spanish writer best known for his acclaimed Civil War-themed novel "Los girasoles ciegos" ("The Blind Sunflowers").
-
E.
Eliseo González
Eliseo González is known as the child of Mexican businesswoman and philanthropist María Eladia Hagerman.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad4735c81908a3a227bf02ca489 |
completed | April 18, 2026, 12:36 p.m. |
Created at: April 10, 2026, 5:18 a.m.