Triple
T2274042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dearborn Assembly Plant |
E50726
|
entity |
| Predicate | endOfMustangProduction |
P4160
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Dearborn Assembly Plant, endOfMustangProduction, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endOfMustangProduction Context triple: [Dearborn Assembly Plant, endOfMustangProduction, 2004]
-
A.
productionEnd
chosen
Indicates that a production process, activity, or run has come to its completion or final stopping point.
-
B.
lastModelProduced
Indicates that one entity is the most recently created or generated model associated with another entity.
-
C.
fourthGenerationEnd
Indicates that a lineage, process, or sequence has reached the end of its fourth generation.
-
D.
enteredAutomobileProduction
Indicates that an entity began manufacturing automobiles as a commercial or industrial activity.
-
E.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc39c6ff0819081a07696f1c29990 |
completed | March 7, 2026, 6:20 a.m. |
| PD | Predicate disambiguation | batch_69abbdb7719081909143efa8f48df4e4 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.