Triple
T10037305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Assembly |
E205202
|
entity |
| Predicate | oneOfOldestFordPlants |
P58759
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Chicago Assembly, oneOfOldestFordPlants, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfOldestFordPlants Context triple: [Chicago Assembly, oneOfOldestFordPlants, true]
-
A.
yearFordProductionMovedOut
Indicates the year in which Ford’s production operations were relocated away from a particular place.
-
B.
oneOfTheOldestOn
chosen
Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
-
C.
isOneOfOldestStationsInSystem
Indicates that the station is among the earliest or first-built stations within the entire system.
-
D.
firstMajorProductionLocation
Indicates the location where an entity’s first major production or large-scale manufacturing activity took place.
-
E.
isOneOfOldestFranchisesIn
Indicates that an entity is among the earliest-established or longest-running franchises within a specified group, category, or region.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcede428c8190ae115dc3425f9b0e |
completed | April 2, 2026, 2:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:55 p.m.