Triple
T37397621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atenor Salas |
E928896
|
entity |
| Predicate | locatedInMunicipalityOrBorough |
P21214
|
FINISHED |
| Object | Benito Juárez |
E4616
|
NE 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: Benito Juárez | Statement: [Atenor Salas, locatedInMunicipalityOrBorough, Benito Juárez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInMunicipalityOrBorough Context triple: [Atenor Salas, locatedInMunicipalityOrBorough, Benito Juárez]
-
A.
locatedInBoroughCommunityDistrict
Indicates that something is situated within a specific borough community district.
-
B.
isLocatedInBoroughGovernment
Indicates that a government entity or office is situated within and administered as part of a specific borough-level governmental jurisdiction.
-
C.
positionInBorough
Indicates that one entity is located within or belongs to the geographic area of a specific borough.
-
D.
isInMunicipality
chosen
Indicates that one entity (typically a place or address) is located within the administrative boundaries of a specific municipality.
-
E.
locatedInFormerBorough
Indicates that an entity is or was situated within the geographic area of a borough that no longer exists as an administrative unit.
- F. None of above.
Provenance (4 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4077055f588190baff46bf7ddf04ac |
completed | June 28, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.