Triple
T26145609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindustan Motors |
E659653
|
entity |
| Predicate | assembledModel |
P45160
|
FINISHED |
| Object | Mitsubishi Lancer |
—
|
NE NERFINISHED |
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: Mitsubishi Lancer | Statement: [Hindustan Motors, assembledModel, Mitsubishi Lancer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assembledModel Context triple: [Hindustan Motors, assembledModel, Mitsubishi Lancer]
-
A.
assembledDuring
Indicates that one entity is put together or constructed within the time period of another event or process.
-
B.
assembledAt
Indicates that one entity was put together or constructed at a specific location or facility.
-
C.
producedModel
chosen
Indicates that one entity created, manufactured, or generated the other entity as a model or product.
-
D.
involvedInComplexAssembly
Indicates that an entity participates in the process of assembling or forming a larger molecular or structural complex.
-
E.
modeledWith
Indicates that something is represented, simulated, or described using a particular model, method, or modeling technique.
- F. None of above.
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_69ee5bc496a88190af7deb7ab5e081de |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f60be803c88190980a8aafa935a52b |
completed | May 2, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:22 p.m.