Triple
T2494649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centaur |
E52126
|
entity |
| Predicate | tankDesign |
P39785
|
FINISHED |
| Object | pressure-stabilized balloon tank |
—
|
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: pressure-stabilized balloon tank | Statement: [Centaur, tankDesign, pressure-stabilized balloon tank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tankDesign Context triple: [Centaur, tankDesign, pressure-stabilized balloon tank]
-
A.
mainTankCapacity
Indicates the maximum volume of fuel or liquid that the primary tank is designed to hold.
-
B.
mainTankFeature
Indicates that a feature is the primary or defining characteristic of a tank in the given context.
-
C.
mainTankName
Indicates that the subject entity has the specified name as its primary or main tank designation.
-
D.
designedCargoCapacity
Indicates the maximum amount of cargo an object (such as a vehicle or container) was originally engineered or specified to carry.
-
E.
craftType
Indicates the specific kind or category of craft or vessel associated with 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd193fe7881909b08768c44b15049 |
completed | March 7, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69abd0b980b481908d4932bcea4a6167 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1318f7881908a8fc42943df4879 |
completed | March 7, 2026, 7:18 a.m. |
Created at: March 6, 2026, 9:45 p.m.