Triple
T24382230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independencia |
E614640
|
entity |
| Predicate | isPartOfMetropolitanZone |
P294
|
FINISHED |
| Object | Santiago 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: Santiago metropolitan area | Statement: [Independencia, isPartOfMetropolitanZone, Santiago metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfMetropolitanZone Context triple: [Independencia, isPartOfMetropolitanZone, Santiago metropolitan area]
-
A.
isLocatedInMetropolitanCity
Indicates that an entity is situated within a metropolitan city area.
-
B.
partOfMetropolitanArea
chosen
Indicates that one place is included within and belongs to the larger metropolitan area of another place.
-
C.
includesMetropolitanZone
Indicates that one geographic or administrative area contains or encompasses a designated metropolitan zone within its boundaries.
-
D.
belongsToMetropolitanRegion
Indicates that one geographic or administrative area is part of, or included within, a larger metropolitan region.
-
E.
isSubjectToMetropolitan
Indicates that an entity falls under the authority, jurisdiction, or governance of a metropolitan area or metropolitan-level body.
- 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293dcd50c8190b242f68198343caa |
completed | April 29, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:03 a.m.