Triple
T33100681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worshipful Company of Drapers |
E847032
|
entity |
| Predicate | rankAmongLiveryCompanies |
P165821
|
FINISHED |
| Object | third |
—
|
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: third | Statement: [Worshipful Company of Drapers, rankAmongLiveryCompanies, third]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankAmongLiveryCompanies Context triple: [Worshipful Company of Drapers, rankAmongLiveryCompanies, third]
-
A.
rankInLiveryCompanies
chosen
Indicates the position or level an entity holds within the hierarchy of livery companies.
-
B.
liveryColors
Indicates the specific set of colors used as the official or characteristic color scheme associated with an entity (such as a brand, organization, or vehicle).
-
C.
liveryInspiredBy
Indicates that one livery’s design, colors, or overall appearance is based on, influenced by, or pays homage to another livery.
-
D.
industryRanking
Indicates the relative position or standing of an entity within its industry based on specified performance or comparison criteria.
-
E.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
- 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6acf2a481909f90970921efe7ec |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:26 a.m.