Triple
T19142766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fundamental Laws of the Realm of Francoist Spain |
E468598
|
entity |
| Predicate | recognizedInstitution |
P17903
|
FINISHED |
| Object | Head of State |
—
|
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: Head of State | Statement: [Fundamental Laws of the Realm of Francoist Spain, recognizedInstitution, Head of State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedInstitution Context triple: [Fundamental Laws of the Realm of Francoist Spain, recognizedInstitution, Head of State]
-
A.
recognizedAsInstitutionBy
chosen
Indicates that an entity is acknowledged or accepted as an institution by a specified recognizing party.
-
B.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
C.
regulatedInstitution
Indicates that one entity is an institution whose activities are subject to oversight, control, or rules imposed by another entity or authority.
-
D.
servesInstitution
Indicates that one entity provides services or functions in support of a particular institution.
-
E.
eligibleInstitution
Indicates that an institution satisfies specified criteria or requirements to qualify for a particular program, benefit, or status.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e976e340819098efccc30b2eef0e |
completed | April 20, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.