Triple
T36858851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dazzle camouflage |
E910872
|
entity |
| Predicate | doesNotAimTo |
P56528
|
FINISHED |
| Object | hide the ship |
—
|
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: hide the ship | Statement: [dazzle camouflage, doesNotAimTo, hide the ship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotAimTo Context triple: [dazzle camouflage, doesNotAimTo, hide the ship]
-
A.
doesNotAimFor
chosen
Indicates that one entity does not direct effort, intention, or purpose toward achieving, obtaining, or targeting another entity or outcome.
-
B.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
C.
doesNotUse
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
D.
doesNotTry
Indicates that an entity makes no attempt to perform a particular action or engage in a specified activity.
-
E.
doesNotTreat
Indicates that one entity refrains from or fails to provide treatment or care to 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.