Triple
T34270499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Matanza |
E879299
|
entity |
| Predicate | formsPartOfConurbation |
P158663
|
FINISHED |
| Object | Buenos Aires metropolitan area |
—
|
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: Buenos Aires metropolitan area | Statement: [La Matanza, formsPartOfConurbation, Buenos Aires metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsPartOfConurbation Context triple: [La Matanza, formsPartOfConurbation, Buenos Aires metropolitan area]
-
A.
isConurbationOf
Indicates that a continuous urban area or metropolitan region is formed by, or results from the merging of, the specified cities or towns.
-
B.
partOfMetropolitanArea
Indicates that one place is included within and belongs to the larger metropolitan area of another place.
-
C.
partOfUrbanContinuumWith
chosen
Indicates that two or more settlements are spatially and functionally connected in such a way that they form a continuous urban area or built-up zone.
-
D.
containsSuburbanAreaOf
Indicates that one geographic region includes within its boundaries a suburban area belonging to or associated with another region.
-
E.
formsUrbanAreaWith
Indicates that two or more settlements are geographically and functionally connected so that together they constitute a single continuous urban area.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 1, 2026, 1:56 a.m.