Triple
T6787308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Expedition |
E155842
|
entity |
| Predicate | relatedModel |
P37
|
FINISHED |
| Object | Ford F-150 |
E8611
|
NE 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: Ford F-150 | Statement: [Ford Expedition, relatedModel, Ford F-150]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ford F-150 Context triple: [Ford Expedition, relatedModel, Ford F-150]
-
A.
Ford F-Series
chosen
The Ford F-Series is a long-running line of full-size pickup trucks that has become one of the best-selling and most iconic vehicle ranges in automotive history.
-
B.
Chevrolet Silverado
The Chevrolet Silverado is a full-size pickup truck line known for its durability, towing capability, and popularity in the North American truck market.
-
C.
Toyota Tundra
The Toyota Tundra is a full-size pickup truck known for its durability, strong towing capability, and Toyota’s reputation for reliability.
-
D.
GMC Sierra
The GMC Sierra is a full-size pickup truck known for its powerful performance, upscale features, and role as one of General Motors’ flagship trucks.
-
E.
Ram 1500
The Ram 1500 is a full-size light-duty pickup truck known for its strong towing capability, refined ride quality, and upscale interior features.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2907d0081908291aad66048b8b1 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a871a84819098891f66c6e5b579 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:14 p.m.