Triple
T16067624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Motor Thailand Co., Ltd. |
E389771
|
entity |
| Predicate | roleInToyotaGroup |
P121501
|
FINISHED |
| Object | principal manufacturing base in Thailand |
—
|
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: principal manufacturing base in Thailand | Statement: [Toyota Motor Thailand Co., Ltd., roleInToyotaGroup, principal manufacturing base in Thailand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInToyotaGroup Context triple: [Toyota Motor Thailand Co., Ltd., roleInToyotaGroup, principal manufacturing base in Thailand]
-
A.
roleInTesla
Indicates that one entity holds or held a specific role, position, or function within the organization Tesla.
-
B.
roleWithinSamsungCT
Indicates a person’s specific role, position, or function within the organization Samsung C&T.
-
C.
roleWithinBoeing
Indicates that one entity holds or has held a specific role, position, or function within the organization Boeing.
-
D.
roleInJapaneseService
Indicates that an entity holds or held a specific role, position, or function within a Japanese organization, institution, or service.
-
E.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:57 a.m.