Triple
T26002487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4th Legislature of Spain |
E646666
|
entity |
| Predicate | hasNumberedLegislature |
P2447
|
FINISHED |
| Object | IV |
—
|
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: IV | Statement: [4th Legislature of Spain, hasNumberedLegislature, IV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberedLegislature Context triple: [4th Legislature of Spain, hasNumberedLegislature, IV]
-
A.
numberOfLegislatures
Indicates the total count of distinct legislatures associated with or relevant to a given entity.
-
B.
legislatureNumber
chosen
Indicates the specific numbered session or term of a legislative body associated with an entity or event.
-
C.
hasLegislatureType
Indicates the specific form or system of legislature that an entity possesses or operates under.
-
D.
hasLegislativeSessionCount
Indicates the number of legislative sessions associated with a given legislative body, term, or jurisdiction.
-
E.
hasAssociatedLegislature
Indicates that an entity is linked to a specific legislative body that holds authority or responsibility over it.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 22, 2026, 9 a.m.