Triple
T37939677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitana |
E946450
|
entity |
| Predicate | isPrincipalMetropolitanRegionOf |
P104355
|
FINISHED |
| Object | Espírito Santo |
—
|
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: Espírito Santo | Statement: [Metropolitana, isPrincipalMetropolitanRegionOf, Espírito Santo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrincipalMetropolitanRegionOf Context triple: [Metropolitana, isPrincipalMetropolitanRegionOf, Espírito Santo]
-
A.
isMetropolitanOf
chosen
Indicates that one entity is the primary metropolitan area or major urban center associated with another entity, such as a region, country, or administrative division.
-
B.
metropolitanOf
Indicates that one place serves as the primary metropolitan center or core urban area for another place or region.
-
C.
belongsToMetropolitanRegion
Indicates that one geographic or administrative area is part of, or included within, a larger metropolitan region.
-
D.
isMetropolitanCoreOf
Indicates that one area functions as the central, most urbanized core within a larger metropolitan region or system.
-
E.
isMetropolitanArea
Indicates that a given area functions as a major urban center and its surrounding region, typically characterized by high population density and integrated economic and social activities.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.