Triple
T11358699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitechapel Bell Foundry |
E269026
|
entity |
| Predicate | hadPrimaryMarket |
P4848
|
FINISHED |
| Object | churches |
—
|
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: churches | Statement: [Whitechapel Bell Foundry, hadPrimaryMarket, churches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPrimaryMarket Context triple: [Whitechapel Bell Foundry, hadPrimaryMarket, churches]
-
A.
hasSecondaryMarket
Indicates that something can be bought, sold, or traded in a secondary market beyond its original point of sale.
-
B.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
C.
hasMajorMarket
chosen
Indicates that an entity has a primary or most significant market in a specified location or segment.
-
D.
hasPrimaryInvestor
Indicates that an entity has a main or leading investor that provides the primary financial backing or funding.
-
E.
hasPrimary
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.