Triple
T22227329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Ancient |
E549376
|
entity |
| Predicate | tartanCategory |
P10431
|
FINISHED |
| Object | ancient colorway |
—
|
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: ancient colorway | Statement: [Gordon Ancient, tartanCategory, ancient colorway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tartanCategory Context triple: [Gordon Ancient, tartanCategory, ancient colorway]
-
A.
tartan
chosen
Indicates that something has a tartan pattern or is characterized by a tartan design.
-
B.
principalTartanOf
Indicates that one entity is the officially recognized primary tartan associated with another entity, such as a clan, organization, or region.
-
C.
sharesClanTartanWith
Indicates that two entities belong to clans that use the same tartan pattern.
-
D.
traditionalDressVariant
Indicates that one traditional dress is a variant or localized form of another traditional dress within the same broader cultural or stylistic tradition.
-
E.
garmentType
Indicates the specific kind or category of garment associated with an entity.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12befe38c8190b547586e41b099b1 |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.