Triple
T27742067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 331 Squadron RAF |
E701879
|
entity |
| Predicate | sisterSquadron |
P76916
|
FINISHED |
| Object | No. 332 Squadron RAF |
—
|
NE NERFINISHED |
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: No. 332 Squadron RAF | Statement: [No. 331 Squadron RAF, sisterSquadron, No. 332 Squadron RAF]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sisterSquadron Context triple: [No. 331 Squadron RAF, sisterSquadron, No. 332 Squadron RAF]
-
A.
squadron
Indicates that an entity is organized into or associated with a specific squadron as a formal operational unit.
-
B.
squadronCode
Indicates the identifying code assigned to a military or aviation squadron that denotes its unit designation.
-
C.
sisterTeam
chosen
Indicates that two teams are closely affiliated or paired, typically within the same organization or structure, as "sister" teams.
-
D.
squadronSize
Indicates the number of units or members that make up a particular squadron.
-
E.
squadronFlagshipOf
Indicates that one entity serves as the primary or lead flagship vessel of a particular squadron.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f637169d6c8190bf74d5b882d2eb7d |
completed | May 2, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:12 p.m.