Triple
T26145616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindustan Motors |
E659653
|
entity |
| Predicate | iconicModel |
P91550
|
FINISHED |
| Object | Hindustan Ambassador |
—
|
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: Hindustan Ambassador | Statement: [Hindustan Motors, iconicModel, Hindustan Ambassador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconicModel Context triple: [Hindustan Motors, iconicModel, Hindustan Ambassador]
-
A.
famousModel
Indicates that the subject is a well-known or widely recognized model.
-
B.
hasIconicModel
chosen
Indicates that something is associated with or represented by a particularly famous or emblematic model.
-
C.
emblematicModel
Indicates that one entity serves as a representative or symbolic example of another entity, capturing its defining characteristics or ideals.
-
D.
nicknameModelledOn
Indicates that one entity’s nickname is based on, inspired by, or patterned after another entity.
-
E.
iconicFeature
Indicates that something serves as a distinctive, widely recognized characteristic or symbol of another entity.
- 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.