Triple
T23758081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HAL/Turbomeca Shakti |
E587173
|
entity |
| Predicate | foreignTechnologyPartner |
P25917
|
FINISHED |
| Object | Turbomeca |
—
|
NE NERFINISHED |
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: Turbomeca | Statement: [HAL/Turbomeca Shakti, foreignTechnologyPartner, Turbomeca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foreignTechnologyPartner Context triple: [HAL/Turbomeca Shakti, foreignTechnologyPartner, Turbomeca]
-
A.
technologyPartner
chosen
Indicates a collaborative relationship where one entity provides technological expertise, products, or services to support or co-develop another entity’s solutions or operations.
-
B.
laterTechnologySupplier
Indicates that one entity supplies technology to another at a later time or in a subsequent stage relative to some reference point or sequence.
-
C.
technicalAlliance
Indicates a collaborative relationship where entities formally cooperate and share expertise, resources, or technology to achieve mutual technical goals.
-
D.
cooperationPartner
Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
-
E.
associatedWithTechnologyCompany
Indicates a relationship where an entity has a connection or involvement with a technology company, such as through ownership, employment, partnership, or other formal association.
- 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_69e2490a0eec81908cdef8a862828d7a |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdad46888190b438b22985838640 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:14 p.m.