Triple
T20827777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Ward Academy |
E512748
|
entity |
| Predicate | hasURN |
P141982
|
FINISHED |
| Object | 136975 |
—
|
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: 136975 | Statement: [Samuel Ward Academy, hasURN, 136975]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasURN Context triple: [Samuel Ward Academy, hasURN, 136975]
-
A.
hasUNII
Indicates that one entity is associated with a specific Unique Ingredient Identifier (UNII) code assigned by regulatory authorities.
-
B.
hasSurnameBearer
Indicates that a particular surname is borne or carried by a specific person or entity.
-
C.
UNSNumber
Indicates that an entity is associated with a specific United Nations (UN) number used to identify hazardous substances or dangerous goods.
-
D.
hasUNOrgan
Indicates that an entity is a member of, affiliated with, or otherwise formally associated with a specified United Nations body or organ.
-
E.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c31e387481909fcf323f97019803 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:42 p.m.