Triple
T3440023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Córdoba (medieval scholarly center) |
E72541
|
entity |
| Predicate | hadInstitutionType |
P303
|
FINISHED |
| Object | mosque-college complex |
—
|
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: mosque-college complex | Statement: [University of Córdoba (medieval scholarly center), hadInstitutionType, mosque-college complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadInstitutionType Context triple: [University of Córdoba (medieval scholarly center), hadInstitutionType, mosque-college complex]
-
A.
hadInstitution
Indicates that an entity was affiliated with, operated within, or was served by a particular institution during some period of time.
-
B.
typeOfInstitution
chosen
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
C.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
D.
servesInstitution
Indicates that one entity provides services or functions in support of a particular institution.
-
E.
hostsInstitution
Indicates that one entity serves as the hosting location or organizing body for an institution.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f833e88190b5e813f115621a5f |
completed | March 8, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69adae00ad588190bef24373b58a2e1a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.