Triple
T36902114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert FitzSuen |
E912065
|
entity |
| Predicate | religiousHouseFounded |
P201628
|
FINISHED |
| Object | Prittlewell Priory |
—
|
NE NERFINISHED |
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: Prittlewell Priory | Statement: [Robert FitzSuen, religiousHouseFounded, Prittlewell Priory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousHouseFounded Context triple: [Robert FitzSuen, religiousHouseFounded, Prittlewell Priory]
-
A.
religiousHouse
Indicates that an entity is a religious institution or building used for worship, residence, or activities of a religious community.
-
B.
religionFoundedOn
Indicates that a particular religion is based on, derived from, or established according to a specific doctrine, text, tradition, or foundational principle.
-
C.
foundedReligion
Indicates that an entity established or originated a particular religion.
-
D.
hasReligiousMovementTypeFoundedThere
Indicates that a particular religious movement was founded or originated at the referenced location.
-
E.
placeOfMonasticFoundation
Indicates the location where a monastic community or monastery was originally established or founded.
- 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_6a000efe971081909de03f875a7ad6cc |
completed | May 10, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_6a000c4ffe788190a5757af60aadd9f3 |
completed | May 10, 2026, 4:40 a.m. |
| PDg | Predicate description generation | batch_6a000efdbe948190b4bfa9871aa1a7ee |
completed | May 10, 2026, 4:52 a.m. |
Created at: May 3, 2026, 4:13 p.m.