Triple
T16565207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Motor Manufacturing Indiana |
E402441
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | TMMI |
E1193318
|
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: TMMI | Statement: [Toyota Motor Manufacturing Indiana, hasAbbreviation, TMMI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMMI Context triple: [Toyota Motor Manufacturing Indiana, hasAbbreviation, TMMI]
-
A.
TMM
TMM was the former currency code for the original Turkmenistan manat used before the country's monetary redenomination.
-
B.
TMMIN
chosen
TMMIN is Toyota Motor Manufacturing Indonesia, the Indonesian manufacturing arm of Toyota responsible for producing vehicles and components for domestic and export markets.
-
C.
TMMWV
TMMWV is Toyota Motor Manufacturing West Virginia, a Toyota engine and transmission production facility located in West Virginia, USA.
-
D.
TMMTX
TMMTX is Toyota’s truck manufacturing plant in San Antonio, Texas, known for producing vehicles like the Toyota Tundra and Tacoma.
-
E.
TMMMS
TMMMS is Toyota’s automobile manufacturing plant in Mississippi, known for producing vehicles such as the Toyota Corolla for the North American market.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e357711ea481909468147375051bb4 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee1c1d0819096367344e48bd8d0 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.