Triple
T253138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of the Lukumi Babalu Aye v. City of Hialeah |
E5193
|
entity |
| Predicate | subsequentCitationFrequency |
P1389
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Church of the Lukumi Babalu Aye v. City of Hialeah, subsequentCitationFrequency, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentCitationFrequency Context triple: [Church of the Lukumi Babalu Aye v. City of Hialeah, subsequentCitationFrequency, high]
-
A.
citationNumber
Indicates the specific numeric identifier assigned to a citation within a document or reference list.
-
B.
subsequentUse
Indicates that one entity is used, applied, or consumed after another entity in time or sequence.
-
C.
subsequentOrder
Indicates that one order occurs after or follows another order in sequence.
-
D.
publicationFrequency
chosen
Indicates how often a publication or content is issued, released, or made available over a given period.
-
E.
citation
Indicates that one entity references, quotes, or otherwise acknowledges another entity as a source of information or authority.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d5331b48190b3797fece8e60e20 |
completed | Feb. 28, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69a25b678d6c81909780e1995c1ca691 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.