Triple
T4221586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge life sciences ecosystem |
E94351
|
entity |
| Predicate | hasKeyCompany |
P51457
|
FINISHED |
| Object | AstraZeneca |
E118527
|
NE FINISHED |
How this triple was built (3 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: AstraZeneca | Statement: [Cambridge life sciences ecosystem, hasKeyCompany, AstraZeneca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AstraZeneca Context triple: [Cambridge life sciences ecosystem, hasKeyCompany, AstraZeneca]
-
A.
AstraZeneca
chosen
AstraZeneca is a global biopharmaceutical company known for researching, developing, and manufacturing prescription medicines across areas such as oncology, cardiovascular, respiratory, and immunology.
-
B.
GlaxoSmithKline
GlaxoSmithKline is a global biopharmaceutical company known for developing and manufacturing prescription medicines, vaccines, and consumer healthcare products.
-
C.
Novartis
Novartis is a global Swiss-based pharmaceutical company known for developing innovative medicines across a wide range of therapeutic areas.
-
D.
Pharmacia
Pharmacia was a major pharmaceutical company known for its global drug development and manufacturing operations before ultimately becoming part of Pfizer.
-
E.
Pfizer
Pfizer is a major American multinational pharmaceutical and biotechnology corporation known for developing a wide range of prescription medicines and vaccines, including one of the first widely used COVID-19 vaccines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyCompany Context triple: [Cambridge life sciences ecosystem, hasKeyCompany, AstraZeneca]
-
A.
hasAssociatedCompany
chosen
Indicates that one entity is linked or connected to a company in an associated or affiliated manner.
-
B.
hasKeyBusiness
Indicates that one entity possesses or is associated with a primary or strategically important business of another entity.
-
C.
hasKeyOrganization
Indicates that an entity is associated with or primarily represented by a main or primary organization.
-
D.
belongsToCompany
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
-
E.
hasKeyAgency
Indicates that an entity serves as the primary responsible or controlling agency for another entity, action, or process.
- F. None of above.
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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e4bf6088190926b982039a12079 |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b59642720c81908e68a56b3d30eef9 |
completed | March 14, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.