Triple
T18736477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough of Tlalpan |
E458175
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Tlalpan |
—
|
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: Tlalpan | Statement: [Borough of Tlalpan, officialName, Tlalpan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tlalpan Context triple: [Borough of Tlalpan, officialName, Tlalpan]
-
A.
Tlalpan
chosen
Tlalpan is one of the largest and southernmost boroughs of Mexico City, known for its extensive green areas, historic center, and mix of urban and rural zones.
-
B.
Tlaltenco
Tlaltenco is a metro station in Mexico City that serves the southeastern area of the city on Line 12 of the Metro system.
-
C.
Tecolotlán
Tecolotlán is a municipality and town in the state of Jalisco, Mexico, known for its rural landscapes, traditional culture, and location within the Sierra de Amula region.
-
D.
Bajío
Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
-
E.
Chamilpa
Chamilpa is a locality within the city of Cuernavaca in the Mexican state of Morelos, known for its residential areas and proximity to the main campus of the Universidad Autónoma del Estado de Morelos.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57689fa508190ad821d361cba9edf |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.