Triple
T38457624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panzerkampfwagen VI Ausf. E |
E912361
|
entity |
| Predicate | numberOfMachineGuns |
P43153
|
FINISHED |
| Object | 2–3 |
—
|
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: 2–3 | Statement: [Panzerkampfwagen VI Ausf. E, numberOfMachineGuns, 2–3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMachineGuns Context triple: [Panzerkampfwagen VI Ausf. E, numberOfMachineGuns, 2–3]
-
A.
numberOfGuns
chosen
Indicates the quantity of guns associated with a given entity or situation.
-
B.
numberOfGunmen
Indicates the quantity of individuals identified as gunmen involved in a particular event or situation.
-
C.
standardIssueMachineGun
Indicates that an entity is equipped with or uses the standard-issue machine gun designated for its organization, faction, or context.
-
D.
numberOfMainBatteryGuns
Indicates the quantity of primary (main) battery guns that an entity, typically a warship or similar platform, is equipped with.
-
E.
armamentCapacity
Indicates the maximum quantity or type of weapons or munitions that something is designed or allowed to carry.
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.