Triple
T29407897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Executive Tower |
E745817
|
entity |
| Predicate | locatedInNationCapitalDistrict |
P5025
|
FINISHED |
| Object | Montevideo |
—
|
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: Montevideo | Statement: [Executive Tower, locatedInNationCapitalDistrict, Montevideo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInNationCapitalDistrict Context triple: [Executive Tower, locatedInNationCapitalDistrict, Montevideo]
-
A.
locatedInNationCapitalRegion
Indicates that an entity is situated within the capital region of a specific nation.
-
B.
isInDistrictCapitalCity
Indicates that one entity is located within the capital city of a specified administrative district.
-
C.
locatedInCapital
chosen
Indicates that an entity is situated within the capital city of a specified region, country, or administrative area.
-
D.
locatedInNationalCapitalRegion
Indicates that an entity is geographically situated within the National Capital Region.
-
E.
basedInDistrict
Indicates that an entity is located or has its primary base of operations within a specific administrative district.
- 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a002ae74da08190a4b47e0ff0f7f8fe |
completed | May 10, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_6a0029cc369c81909578e52c4a75ab18 |
completed | May 10, 2026, 6:46 a.m. |
Created at: April 28, 2026, 2:55 p.m.