Triple
T5753002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piquette Avenue Plant |
E126894
|
entity |
| Predicate | yearFordProductionMovedOut |
P66551
|
FINISHED |
| Object | 1910 |
—
|
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: 1910 | Statement: [Piquette Avenue Plant, yearFordProductionMovedOut, 1910]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearFordProductionMovedOut Context triple: [Piquette Avenue Plant, yearFordProductionMovedOut, 1910]
-
A.
enteredAutomobileProduction
Indicates that an entity began manufacturing automobiles as a commercial or industrial activity.
-
B.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
-
C.
yearFirstDelivered
Indicates the calendar year in which something (such as a product, service, or item) was first delivered or made available.
-
D.
yearOfManufacture
Indicates the specific calendar year in which an item was produced or manufactured.
-
E.
automakerParentCompany
Indicates that one company is the parent company of another company that manufactures automobiles.
- 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_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. |
| PDg | Predicate description generation | batch_69c02b4ea03c81908c3d799462de20c4 |
completed | March 22, 2026, 5:47 p.m. |
Created at: March 22, 2026, 3:48 p.m.