Triple
T24676970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merchant Taylors' Company |
E611013
|
entity |
| Predicate | rankWithinLiveryCompanies |
P37057
|
FINISHED |
| Object | One of the Great Twelve |
—
|
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: One of the Great Twelve | Statement: [Merchant Taylors' Company, rankWithinLiveryCompanies, One of the Great Twelve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankWithinLiveryCompanies Context triple: [Merchant Taylors' Company, rankWithinLiveryCompanies, One of the Great Twelve]
-
A.
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).
-
B.
rankTier
chosen
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
C.
hasLivery
Indicates that one entity bears or displays the distinctive colors, markings, or branding (livery) associated with another entity.
-
D.
rankCode
Indicates the specific rank or hierarchical level assigned to an entity, typically encoded as a standardized code.
-
E.
liveryFeature
Indicates a characteristic or design element that is part of a specific livery or external appearance scheme.
- 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_69e2c4d5c2dc8190ac857dea25ec6ce9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:06 a.m.