Triple
T3984367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valle de Chalco Solidaridad |
E86835
|
entity |
| Predicate | isPartOfConurbationWith |
P294
|
FINISHED |
| Object | eastern Mexico City |
—
|
LITERAL 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: eastern Mexico City | Statement: [Valle de Chalco Solidaridad, isPartOfConurbationWith, eastern Mexico City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfConurbationWith Context triple: [Valle de Chalco Solidaridad, isPartOfConurbationWith, eastern Mexico City]
-
A.
partOfMetropolitanArea
chosen
Indicates that one place is included within and belongs to the larger metropolitan area of another place.
-
B.
isSuburbanCityOf
Indicates that one city is a suburban municipality that is part of, or closely associated with, a larger primary city or metropolitan area.
-
C.
isMetropolitanCoreOf
Indicates that one area functions as the central, most urbanized core within a larger metropolitan region or system.
-
D.
metropolitanOf
Indicates that one place serves as the primary metropolitan center or core urban area for another place or region.
-
E.
locatedInHubOf
Indicates that one entity is situated within the central hub or core area associated with another entity.
- F. None of above.
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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.