Triple
T4340602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FH77 howitzer series |
E97569
|
entity |
| Predicate | gunLaying |
P6073
|
FINISHED |
| Object | towed |
—
|
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: towed | Statement: [FH77 howitzer series, gunLaying, towed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gunLaying Context triple: [FH77 howitzer series, gunLaying, towed]
-
A.
gun
Indicates that one entity uses, carries, or is associated with a gun in relation to another entity or context.
-
B.
gunType
chosen
Indicates the specific category or kind of gun associated with an entity.
-
C.
shotDownOver
Indicates that one entity caused another (typically an aircraft or projectile) to be brought down while it was in flight above a particular location or area.
-
D.
laidDown
Indicates that an entity places or sets another entity down into a resting or horizontal position.
-
E.
gunStabilisation
Indicates that an entity performs or provides stabilization for a gun, reducing its movement or recoil to improve accuracy.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35170a6648190a15ffb21640ee478 |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.