Triple
T28830534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qochanis |
E728036
|
entity |
| Predicate | startTimeOfReligiousSeat |
P91840
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [Qochanis, startTimeOfReligiousSeat, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfReligiousSeat Context triple: [Qochanis, startTimeOfReligiousSeat, 17th century]
-
A.
foundedAsReligiousSiteInCentury
Indicates that something was originally established as a religious site during a specified century.
-
B.
periodAsEpiscopalSeeStart
chosen
Indicates the point in time when a location begins its role or status as an episcopal see.
-
C.
archbishopricSeatPeriod
Indicates the time period during which a particular location served as the official seat of an archbishopric.
-
D.
foundedAsTempleInYear
Indicates that an entity was originally established as a temple in a specific year.
-
E.
periodOfPapalSeat
Indicates the time span during which a particular papal seat was held or occupied.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: April 28, 2026, 6:37 a.m.