Triple
T5999451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novo Nordisk North American headquarters |
E133557
|
entity |
| Predicate | operatorIndustry |
P67916
|
FINISHED |
| Object | pharmaceutical industry |
—
|
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: pharmaceutical industry | Statement: [Novo Nordisk North American headquarters, operatorIndustry, pharmaceutical industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorIndustry Context triple: [Novo Nordisk North American headquarters, operatorIndustry, pharmaceutical industry]
-
A.
industryContext
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
-
B.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
C.
foundingIndustry
Indicates the industry or sector in which an entity was originally founded or began its primary operations.
-
D.
industryPerception
Indicates how an industry is viewed or regarded, typically in terms of reputation, trust, or overall public and stakeholder opinion.
-
E.
industryRegime
Indicates a regulatory or governance framework that controls or shapes how an industry operates.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee49b708190a92c3fd1336e8ab0 |
completed | March 22, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:05 p.m.