Triple
T37536377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadiz Viejo |
E933207
|
entity |
| Predicate | belongsToMunicipalityOrCity |
P21214
|
FINISHED |
| Object | Cadiz City |
—
|
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: Cadiz City | Statement: [Cadiz Viejo, belongsToMunicipalityOrCity, Cadiz City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToMunicipalityOrCity Context triple: [Cadiz Viejo, belongsToMunicipalityOrCity, Cadiz City]
-
A.
hasMunicipalRelationshipWith
Indicates a formal or functional connection between two municipalities, such as cooperation, partnership, or administrative association.
-
B.
isInMunicipality
chosen
Indicates that one entity (typically a place or address) is located within the administrative boundaries of a specific municipality.
-
C.
belongsToDistrictLevelCity
Indicates that an entity is administratively part of, or falls under the jurisdiction of, a specific district-level city.
-
D.
isMunicipalHomeOf
Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
-
E.
hasMemberMunicipality
Indicates that an administrative region or governing body includes a specific municipality as one of its constituent members.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0031ed5d708190ab93516ad081ada6 |
completed | May 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_6a0031b5dbd081908eb0f4dbb8a0eac3 |
completed | May 10, 2026, 7:20 a.m. |
Created at: May 3, 2026, 4:17 p.m.