Triple
T10175776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Maaten al-Sarra |
E235846
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Toyota War |
E220637
|
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: Toyota War | Statement: [Battle of Maaten al-Sarra, partOf, Toyota War]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyota War Context triple: [Battle of Maaten al-Sarra, partOf, Toyota War]
-
A.
Toyota War
chosen
The Toyota War was the 1987 final phase of the Chadian–Libyan conflict, marked by highly mobile Chadian forces using Toyota pickup trucks to decisively defeat Libyan troops.
-
B.
Toyota BJ
The Toyota BJ was an early postwar Japanese four-wheel-drive utility vehicle that served as the direct predecessor to the famed Toyota Land Cruiser series.
-
C.
Toyota vehicles
Toyota vehicles are a globally recognized line of reliable, fuel-efficient cars, trucks, and SUVs produced by the Japanese automaker Toyota.
-
D.
Totota
Totota is a town located in Bong County in central Liberia.
-
E.
Toyota, Aichi
Toyota, Aichi is a Japanese city best known as the headquarters and company town of the Toyota Motor Corporation.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd3a2688190bce277bffffcbf8b |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d301232e5c8190ad80c4e78681994c |
completed | April 6, 2026, 12:41 a.m. |
Created at: March 30, 2026, 9:11 p.m.