Triple
T29749737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Clairon |
E752860
|
entity |
| Predicate | referredFirearmEra |
P119523
|
FINISHED |
| Object | Cold War small arms |
—
|
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: Cold War small arms | Statement: [Le Clairon, referredFirearmEra, Cold War small arms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredFirearmEra Context triple: [Le Clairon, referredFirearmEra, Cold War small arms]
-
A.
aircraftEra
Indicates the historical time period or era during which an aircraft was designed, produced, or primarily operated.
-
B.
historicalEquipment
Indicates that an entity is or involves equipment that was used in the past, typically in a historical or legacy context.
-
C.
conflictEra
Indicates that two entities are associated with the same historical period or era of conflict.
-
D.
usedDuringEraOf
chosen
Indicates that something was in use or actively employed during the time period or historical era associated with another entity.
-
E.
numberOfGuns
Indicates the quantity of guns associated with a given entity or situation.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 28, 2026, 7:53 p.m.