Triple
T459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard University |
E9
|
entity |
| Predicate | formerReligiousAffiliation |
P111
|
FINISHED |
| Object | Congregationalism |
—
|
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: Congregationalism | Statement: [Harvard University, formerReligiousAffiliation, Congregationalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerReligiousAffiliation Context triple: [Harvard University, formerReligiousAffiliation, Congregationalism]
-
A.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
B.
formerName
Indicates that an entity was previously known by a different name in the past.
-
C.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
D.
countryOfCitizenship
Indicates the country in which a person or entity holds legal citizenship.
-
E.
placeOfBirth
Indicates the location where a person or other entity was born.
- 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_69a22735e1b081908bd0457057dcf086 |
completed | Feb. 27, 2026, 11:22 p.m. |
| NER | Named-entity recognition | batch_69a2304aaa2c8190ab7e8dd5da977c11 |
completed | Feb. 28, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69a22918087081909e717b8bee896e8f |
completed | Feb. 27, 2026, 11:30 p.m. |
| PDg | Predicate description generation | batch_69a23049fde881908c53b5d18ebc73d0 |
completed | Feb. 28, 2026, 12:01 a.m. |
Created at: Feb. 27, 2026, 11:24 p.m.