Triple
T5753001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piquette Avenue Plant |
E126894
|
entity |
| Predicate | yearModelTProductionBegan |
P61333
|
FINISHED |
| Object | 1908 |
—
|
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: 1908 | Statement: [Piquette Avenue Plant, yearModelTProductionBegan, 1908]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearModelTProductionBegan Context triple: [Piquette Avenue Plant, yearModelTProductionBegan, 1908]
-
A.
yearFirstDelivered
Indicates the calendar year in which something (such as a product, service, or item) was first delivered or made available.
-
B.
productionModelDebut
chosen
Indicates the event or point in time when a model first enters official production or is publicly released as a production version.
-
C.
modelProduced
Indicates that a particular model has generated or produced a specified output, result, or artifact.
-
D.
modelYears
Indicates the association between a product (often a vehicle or device) and the specific calendar years in which that model version was produced or marketed.
-
E.
lastAppearanceYear
Indicates the calendar year in which an entity made its most recent appearance.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.