Triple
T33451664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worshipful Company of Carpenters |
E856657
|
entity |
| Predicate | rankInCivicPrecedence |
P183755
|
FINISHED |
| Object | 26 |
—
|
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: 26 | Statement: [Worshipful Company of Carpenters, rankInCivicPrecedence, 26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInCivicPrecedence Context triple: [Worshipful Company of Carpenters, rankInCivicPrecedence, 26]
-
A.
rankInCountyPrecedence
Indicates the relative ordering or priority assigned to an entity within the precedence hierarchy specific to a given county.
-
B.
ceremonialPrecedenceWithin
Indicates that one entity holds a higher or lower rank or priority than another within a specific ceremonial order or context.
-
C.
ceremonialPrecedenceAfter
Indicates that one entity is ranked or positioned immediately after another in a formal or ceremonial order of precedence.
-
D.
confersPrecedenceIn
Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
-
E.
rankByProminence
Indicates that entities are ordered or assigned a position based on their level of prominence or notability relative to one another.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: May 1, 2026, 1:37 a.m.