Triple
T28375310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cars |
E718740
|
entity |
| Predicate | featuresWorldOf |
P169885
|
FINISHED |
| Object | anthropomorphic vehicles |
—
|
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: anthropomorphic vehicles | Statement: [Cars, featuresWorldOf, anthropomorphic vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresWorldOf Context triple: [Cars, featuresWorldOf, anthropomorphic vehicles]
-
A.
featuresWorld
chosen
Indicates that something (such as a work, product, or system) includes, depicts, or is set within a particular world or environment.
-
B.
notableWorld
Indicates that an entity is notably recognized or significant on a global or worldwide scale.
-
C.
featuresCountry
Indicates that something includes, highlights, or prominently involves a particular country.
-
D.
featuresUniverse
Indicates that one entity includes, presents, or prominently showcases a particular universe or world as part of its content or structure.
-
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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: April 28, 2026, 1:02 a.m.