Triple
T4364075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonia La Joya |
E98729
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Tlalpan |
E16490
|
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: Tlalpan | Statement: [Colonia La Joya, partOf, Tlalpan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tlalpan Context triple: [Colonia La Joya, partOf, 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.
Bajío
Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
-
C.
Xochimilco
Xochimilco is a southern borough of Mexico City famous for its historic canals, colorful trajinera boats, and UNESCO-listed chinampa (floating garden) agricultural system.
-
D.
Xalisco
Xalisco is a municipality and town in the Mexican state of Nayarit, known for its agricultural activity and proximity to the state capital, Tepic.
-
E.
Chapala
Chapala is a lakeside town in the Mexican state of Jalisco, known for its location on the shores of Lake Chapala, the country’s largest freshwater lake.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e70a748190af6f1b709a0e75e6 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65f2db8908190ba0f5b5ba1a75bef |
completed | March 15, 2026, 7:26 a.m. |
Created at: March 12, 2026, 11:16 p.m.