Triple
T30209755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airbus Broughton plant |
E768035
|
entity |
| Predicate | shipsComponentsTo |
P162440
|
FINISHED |
| Object | Airbus final assembly line Toulouse |
—
|
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: Airbus final assembly line Toulouse | Statement: [Airbus Broughton plant, shipsComponentsTo, Airbus final assembly line Toulouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipsComponentsTo Context triple: [Airbus Broughton plant, shipsComponentsTo, Airbus final assembly line Toulouse]
-
A.
shipsTo
chosen
Indicates that one entity sends or delivers goods, products, or items to another entity or location.
-
B.
componentShip
Indicates that one entity is a physical or logical component or part of another entity, such that the whole is composed of or depends on that component.
-
C.
shipsWith
Indicates that one entity is delivered, packaged, or provided together with another entity as part of the same shipment or bundle.
-
D.
shipManager
Indicates a relationship where one entity manages, oversees, or is responsible for the operation and administration of a ship.
-
E.
shipMaterial
Indicates that one entity is the material or substance from which the ship entity is made or constructed.
- 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67fefbf6481909b37c1f7f4903985 |
completed | May 2, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:32 p.m.