Triple
T25141971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Etheldreda |
E629825
|
entity |
| Predicate | tookVeilAt |
P101277
|
FINISHED |
| Object | Coldingham |
—
|
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: Coldingham | Statement: [Saint Etheldreda, tookVeilAt, Coldingham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookVeilAt Context triple: [Saint Etheldreda, tookVeilAt, Coldingham]
-
A.
veilName
Indicates that an entity is associated with or identified by a particular veil-related name or alias.
-
B.
veilCustom
Indicates a customary or traditional practice involving the wearing or use of a veil.
-
C.
veilFunction
Indicates a relationship where something serves as or provides the function of a veil, typically obscuring, concealing, or partially covering something else.
-
D.
isWornBefore
Indicates that one item of clothing or accessory is put on earlier in time than another item.
-
E.
takesVowsOf
chosen
Indicates that an entity formally commits to specific vows, promises, or oaths, typically within a religious, ceremonial, or institutional context.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f46849ab4081909a2278c535b5e5bc |
completed | May 1, 2026, 8:46 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:29 a.m.