Triple
T21403941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valle de Toluca |
E527981
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tianguistenco |
—
|
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: Tianguistenco | Statement: [Valle de Toluca, contains, Tianguistenco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tianguistenco Context triple: [Valle de Toluca, contains, Tianguistenco]
-
A.
Tianguistenco
chosen
Tianguistenco is a municipality in the State of Mexico known for its industrial activity and proximity to Toluca in central Mexico.
-
B.
Quintero
Quintero is a coastal Chilean city known for its beaches, port activities, and role as part of the Valparaíso Region’s industrial and tourism corridor.
-
C.
Pachuca
Pachuca is a historic mining city and the capital of the state of Hidalgo in central Mexico, known for its silver production and distinctive English-influenced architecture.
-
D.
Zapallar
Zapallar is a coastal town and popular beach resort in central Chile, known for its scenic bay, upscale summer homes, and tranquil atmosphere.
-
E.
Copa
Copa is an archaeological site in the Peruvian highlands associated with the ancient Recuay culture, known for its distinctive highland architecture and stone sculpture.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1729eb48190a4ea48bf1f158a37 |
completed | April 22, 2026, 11:30 a.m. |
Created at: April 16, 2026, 5:28 p.m.