Triple
T36899696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of the Archdiocese of Toledo |
E911995
|
entity |
| Predicate | galeroRank |
P187112
|
FINISHED |
| Object | archbishop |
—
|
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: archbishop | Statement: [Coat of arms of the Archdiocese of Toledo, galeroRank, archbishop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: galeroRank Context triple: [Coat of arms of the Archdiocese of Toledo, galeroRank, archbishop]
-
A.
globalRanking
Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
-
B.
goRank
Indicates a ranking or ordered position assigned to an entity within a sequence or hierarchy.
-
C.
peakRanking
Indicates the highest position or rank an entity has ever achieved within a specified ranking system or context.
-
D.
formationRank
Indicates the hierarchical position or level an entity holds within a particular formation or organized group.
-
E.
selectionRankingEndPoint
Indicates the position or boundary in an ordered list at which a selection or ranking process concludes.
- F. None of above. chosen
Provenance (4 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.