Triple
T24395881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norfolk wherries |
E615025
|
entity |
| Predicate | mastType |
P156047
|
FINISHED |
| Object | stepped mast in tabernacle |
—
|
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: stepped mast in tabernacle | Statement: [Norfolk wherries, mastType, stepped mast in tabernacle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mastType Context triple: [Norfolk wherries, mastType, stepped mast in tabernacle]
-
A.
mastCount
Indicates the number of masts associated with or present on a given entity.
-
B.
motherType
Indicates the specific category or role of motherhood that one entity has in relation to another (e.g., biological, adoptive, step).
-
C.
mastHeight
Indicates the height of a mast relative to a referenced object or measurement standard.
-
D.
bearsOnBreast
Indicates that one entity is depicted or represented as being carried or displayed on the breast or chest area of another entity.
-
E.
hasAreoles
Indicates that one entity possesses or exhibits areoles as a characteristic or feature.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294d69b5c81908cf6143374934f5c |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:04 a.m.