Triple
T25281171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liar |
E633827
|
entity |
| Predicate | brassHeavyProduction |
P158331
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Liar, brassHeavyProduction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brassHeavyProduction Context triple: [Liar, brassHeavyProduction, true]
-
A.
featuresHeavyProduction
Indicates that something involves intensive, large-scale, or complex production work, often requiring substantial resources or effort.
-
B.
mainMetalProduced
Indicates that a location, facility, or process primarily produces a particular metal as its main output.
-
C.
allMetalConstruction
Indicates that something is constructed entirely or almost entirely from metal components.
-
D.
hasHeavierBarrelThan
Indicates that the barrel of one entity has a greater weight than the barrel of another entity.
-
E.
typeOfWeaponsProduced
Indicates the specific categories or kinds of weapons that are manufactured or produced by an entity.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48e0483bc819093ac489f681665f2 |
completed | May 1, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f465699c9c8190ac7b4b32b782550c |
completed | May 1, 2026, 8:33 a.m. |
Created at: April 21, 2026, 1:19 p.m.