Triple
T22079618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Piquette Avenue Plant |
E545613
|
entity |
| Predicate | firstModelTProductionDate |
P39672
|
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: [Ford Piquette Avenue Plant, firstModelTProductionDate, 1908]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstModelTProductionDate Context triple: [Ford Piquette Avenue Plant, firstModelTProductionDate, 1908]
-
A.
firstModelIntroduced
Indicates that one entity is the earliest or original model introduced in relation to another entity or context.
-
B.
yearModelTDevelopmentBegan
Indicates the calendar year in which the development of model T was initiated.
-
C.
firstProductionYear
chosen
Indicates the year in which something (such as a product, work, or item) was first produced.
-
D.
productionModelDebut
Indicates the event or point in time when a model first enters official production or is publicly released as a production version.
-
E.
firstPrototypeYear
Indicates the year in which the first prototype of an entity was created or completed.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b56d5c8190aa825fe02e3ad917 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:28 p.m.