Triple
T23952777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haberdashers' Company |
E603092
|
entity |
| Predicate | isEducational |
P154479
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Haberdashers' Company, isEducational, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEducational Context triple: [Haberdashers' Company, isEducational, true]
-
A.
hasEducationalDimension
Indicates that something includes, involves, or contributes to an educational aspect, purpose, or impact within the relationship or context described.
-
B.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
C.
educationalImportance
Indicates the degree to which something is significant, valuable, or impactful in an educational or learning context.
-
D.
hasEducationalUse
Indicates that something is intended to be used for educational or instructional purposes.
-
E.
hasEducationalAudience
Indicates that something is intended for or directed toward a specific educational audience or learner group.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d48bc881909d58d258757e67ad |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:20 p.m.