Triple
T12644316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenida Madero |
E301981
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Plateros |
E625497
|
NE FINISHED |
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: Plateros | Statement: [Avenida Madero, formerName, Plateros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plateros Context triple: [Avenida Madero, formerName, Plateros]
-
A.
Plateros
chosen
Plateros is a major Catholic pilgrimage site in Zacatecas, Mexico, renowned for its sanctuary dedicated to the Santo Niño de Atocha.
-
B.
Marchigüe
Marchigüe is a rural commune and town in central Chile’s O’Higgins Region, known for its agricultural activities and traditional countryside character.
-
C.
Rentería
Rentería (Errenteria) is a town in the Basque province of Gipuzkoa in northern Spain, known for its industrial history and proximity to San Sebastián.
-
D.
Panza
Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
-
E.
Panza
Panza is a locality within the municipality of Forio on the Italian island of Ischia, known as a small coastal village and tourist area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614bf2f881909976becdf747f4fb |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687961d88190a605f17425ad7547 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:17 p.m.