Triple
T25038488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Navarre |
E627044
|
entity |
| Predicate | hasHistoricalInstitution |
P14827
|
FINISHED |
| Object | Estates of Lower Navarre |
—
|
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: Estates of Lower Navarre | Statement: [Lower Navarre, hasHistoricalInstitution, Estates of Lower Navarre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalInstitution Context triple: [Lower Navarre, hasHistoricalInstitution, Estates of Lower Navarre]
-
A.
hasLegacyInstitution
Indicates that an entity is historically derived from, or continues the role or traditions of, an earlier institution.
-
B.
hasHistoricUniversity
Indicates that an entity is associated with or contains a university of historical significance.
-
C.
hasHistoricalOrigin
Indicates that something originated, was first established, or came into existence during a specific historical period or context.
-
D.
hasHistoricalEntity
chosen
Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
-
E.
historicalNameOfInstitution
Indicates that one institution is a former or historical name by which another institution was previously 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 18, 2026, 6:08 a.m.