Triple
T14608047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcalde |
E342882
|
entity |
| Predicate | legalTitleIn |
P59307
|
FINISHED |
| Object | Spanish municipal law |
—
|
LITERAL 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: Spanish municipal law | Statement: [Alcalde, legalTitleIn, Spanish municipal law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalTitleIn Context triple: [Alcalde, legalTitleIn, Spanish municipal law]
-
A.
hasTitleInLaw
Indicates that an entity holds or is designated by a specific formal title as defined or recognized in law.
-
B.
notLegalTitle
Indicates that the referenced title or ownership claim is not legally valid or officially recognized.
-
C.
natureOfTitle
Indicates the specific type or character of a title in relation to the entity it is associated with.
-
D.
legalTermIn
chosen
Indicates that a particular legal term or concept is used, defined, or applicable within a specified legal document, jurisdiction, or context.
-
E.
legalCodeAlternativeName
Indicates that a legal code has an alternative name or designation by which it may also be known.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44d327c8190a8d20568429d0f80 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.