Triple
T37834080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morane-Saulnier M.S.406 |
E943287
|
entity |
| Predicate | statusAtWWIIStart |
P19660
|
FINISHED |
| Object | backbone of French fighter force |
—
|
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: backbone of French fighter force | Statement: [Morane-Saulnier M.S.406, statusAtWWIIStart, backbone of French fighter force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAtWWIIStart Context triple: [Morane-Saulnier M.S.406, statusAtWWIIStart, backbone of French fighter force]
-
A.
statusDuringWorldWarII
chosen
Indicates the role, condition, or classification an entity had specifically during the period of World War II.
-
B.
sideInWorldWarII
Indicates that an entity was aligned with or participated on a particular side during World War II.
-
C.
legalStatusDuringWWI
Indicates the legal condition or classification an entity held specifically during World War I (e.g., enemy alien, neutral, ally, civilian, combatant).
-
D.
statusDuringWar
Indicates the role, condition, or classification an entity held specifically during a period of war.
-
E.
statusBy1941
Indicates the status or condition of an entity as it stood by the year 1941.
- 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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
Created at: May 3, 2026, 4:19 p.m.