Triple
T13590546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Born Award |
E324680
|
entity |
| Predicate | typicalAwardingBodyType |
P1497
|
FINISHED |
| Object | professional society |
—
|
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: professional society | Statement: [Max Born Award, typicalAwardingBodyType, professional society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAwardingBodyType Context triple: [Max Born Award, typicalAwardingBodyType, professional society]
-
A.
hasAwardingBodyType
chosen
Indicates that an entity has an associated type or category describing the kind of organization or body that grants an award.
-
B.
languageOfAwardingBodies
Indicates the language or languages used by the organizations or institutions that grant the awards.
-
C.
accreditingBody
Indicates that an entity serves as the official organization that grants accreditation or formal recognition to another entity.
-
D.
locationOfAwardingBody
Indicates the place or venue where the awarding body confers or grants an award.
-
E.
educationalAuthorityType
Indicates the specific kind or classification of authority an entity holds within an educational context (e.g., school board, ministry, accreditation body).
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.