Triple
T26486707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiho-class aircraft carrier |
E664840
|
entity |
| Predicate | hasCatapult |
P178268
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Taiho-class aircraft carrier, hasCatapult, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatapult Context triple: [Taiho-class aircraft carrier, hasCatapult, false]
-
A.
numberOfCatapults
Indicates the quantity of catapults associated with a given entity or context.
-
B.
catapultType
Indicates the specific kind or category of catapult associated with an entity or event.
-
C.
hasCatalyst
Indicates that a process, reaction, or transformation occurs with the involvement of a specific catalyst that facilitates or accelerates it.
-
D.
hasCannon
Indicates that one entity is equipped with, contains, or features a cannon.
-
E.
catapults
Indicates launching or forcefully propelling one entity through the air toward another location or target.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 27, 2026, 12:31 a.m.