Triple
T10908800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford F-7 |
E257638
|
entity |
| Predicate | lineupRole |
P96349
|
FINISHED |
| Object | heavy-duty model in Ford’s first postwar “Bonus-Built” truck lineup |
—
|
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: heavy-duty model in Ford’s first postwar “Bonus-Built” truck lineup | Statement: [Ford F-7, lineupRole, heavy-duty model in Ford’s first postwar “Bonus-Built” truck lineup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineupRole Context triple: [Ford F-7, lineupRole, heavy-duty model in Ford’s first postwar “Bonus-Built” truck lineup]
-
A.
associatedPlayerRole
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
-
B.
playsInRole
Indicates that an entity performs or appears in a specific role within a production, event, or context.
-
C.
roleInSeason
Indicates the specific role or function an entity has within a particular season of a series or competition.
-
D.
playsInPosition
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
-
E.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706824d08190ba894d144cc6b3ba |
completed | April 9, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69d70d3d69e08190bb369e9a7927142c |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:22 p.m.