Triple
T16387483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secular Franciscans |
E397959
|
entity |
| Predicate | livesInState |
P562
|
FINISHED |
| Object | secular state |
—
|
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: secular state | Statement: [Secular Franciscans, livesInState, secular state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: livesInState Context triple: [Secular Franciscans, livesInState, secular state]
-
A.
housedInState
Indicates that an entity is located or situated within the boundaries of a particular state.
-
B.
homeState
chosen
Indicates that a person or organization has their primary residence, registration, or official base in a particular state.
-
C.
hasCapitalOfContainingState
Indicates that a capital city is the official capital of a state that geographically contains a given area or entity.
-
D.
birthState
Indicates the state or region in which a person or entity was born.
-
E.
participatingState
Indicates that a state is taking part in, or is formally involved as a participant in, a specified event, process, or arrangement.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263e1534819081a6bf5006c611c5 |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.