Triple
T37938969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serra |
E946428
|
entity |
| Predicate | isMajorMunicipalityIn |
P9892
|
FINISHED |
| Object | Espírito Santo |
E280282
|
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: Espírito Santo | Statement: [Serra, isMajorMunicipalityIn, Espírito Santo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorMunicipalityIn Context triple: [Serra, isMajorMunicipalityIn, Espírito Santo]
-
A.
isMunicipalHomeOf
Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
-
B.
isMajorCityIn
chosen
Indicates that a city is a primary or significant urban center located within a specified larger region or country.
-
C.
isMostPopulousMunicipalityOf
Indicates that a municipality has the largest population among all municipalities within the specified administrative area or region.
-
D.
isCapitalMunicipalityOf
Indicates that a municipality serves as the official capital (administrative center) of a specified larger region, such as a state, province, or country.
-
E.
isMajorAdministrativeCentre
Indicates that a location functions as the primary hub for governmental and administrative activities within a larger region or jurisdiction.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a419de28ec0819094d5d7fb87e552c3 |
completed | June 28, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
Created at: May 3, 2026, 4:20 p.m.