Triple
T32500891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clavijero Palace |
E830655
|
entity |
| Predicate | languageOfOriginalInstitution |
P143187
|
FINISHED |
| Object | Spanish |
—
|
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 | Statement: [Clavijero Palace, languageOfOriginalInstitution, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfOriginalInstitution Context triple: [Clavijero Palace, languageOfOriginalInstitution, Spanish]
-
A.
hasLanguageOfOriginalInstitution
chosen
Indicates that an institution is associated with a specific original or primary language in which it operates or was established.
-
B.
languageOfAwardingInstitution
Indicates the language in which the awarding institution formally grants or documents the award.
-
C.
languageOfOriginalGrant
Indicates the language in which the original grant or granting document was written or issued.
-
D.
languageOfOriginalDescription
Indicates that something is expressed or documented in its initial or source language version.
-
E.
languageOfOriginalReport
Indicates the language in which the original report was written or produced.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
Created at: May 1, 2026, 12:59 a.m.