Triple
T33491981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matra Automobiles |
E857763
|
entity |
| Predicate | ceasedProductionOfCars |
P176671
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [Matra Automobiles, ceasedProductionOfCars, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceasedProductionOfCars Context triple: [Matra Automobiles, ceasedProductionOfCars, 2003]
-
A.
ceasedManufacturingIn
Indicates that an entity stopped producing or manufacturing a product, item, or category in a specified location or at a specified time.
-
B.
ceasedSteamLocomotiveProduction
Indicates that an entity has stopped manufacturing steam locomotives.
-
C.
enteredAutomobileProduction
Indicates that an entity began manufacturing automobiles as a commercial or industrial activity.
-
D.
endOfAutomobileProductionInCanada
Indicates the point in time or event when automobile manufacturing activities cease to occur within Canada.
-
E.
endOfWeaponsProduction
Indicates that the production or manufacturing of weapons has ceased or been brought to an end.
- 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_69f3497547608190a1a0f2365fb713ee |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e567ed788190a135121a1c660ecc |
completed | May 3, 2026, 6:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3db74c081909a991309d835d477 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e4a260808190b4aca0b988f3e593 |
completed | May 3, 2026, 6:01 a.m. |
Created at: May 1, 2026, 1:38 a.m.