Triple
T7408537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PA474 |
E170940
|
entity |
| Predicate | oneOfOnly |
P34479
|
FINISHED |
| Object | two airworthy Avro Lancaster bombers in the world |
—
|
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: two airworthy Avro Lancaster bombers in the world | Statement: [PA474, oneOfOnly, two airworthy Avro Lancaster bombers in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfOnly Context triple: [PA474, oneOfOnly, two airworthy Avro Lancaster bombers in the world]
-
A.
oneOfFew
chosen
Indicates that the subject is one member of a small, limited set of entities that share a specified property or role.
-
B.
oneOfCasesIn
Indicates that an entity is one specific member of a defined set or collection of possible cases.
-
C.
isOneOf
Indicates that an entity belongs to a specified set or list of possible values.
-
D.
oneOfFewIn
Indicates that an entity is one among a small, limited number of entities that are in or belong to a specified set, group, or context.
-
E.
singleWith
Indicates that an entity is unmarried and not currently in a romantic relationship.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f29acf588190a7c4056bdc4f3ffc |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:10 p.m.