Triple
T16754246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M67 fragmentation grenade |
E407167
|
entity |
| Predicate | explosiveFillingWeight |
P49453
|
FINISHED |
| Object | about 180 grams |
—
|
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: about 180 grams | Statement: [M67 fragmentation grenade, explosiveFillingWeight, about 180 grams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: explosiveFillingWeight Context triple: [M67 fragmentation grenade, explosiveFillingWeight, about 180 grams]
-
A.
explosiveFillerMass
chosen
Indicates the amount of explosive material contained within an object or device.
-
B.
explosiveFillType
Indicates the specific kind or classification of explosive material used to fill an explosive device or munition.
-
C.
explosiveMaterialUsed
Indicates that an explosive material was employed or involved in carrying out a particular action or event.
-
D.
warheadFilling
Indicates that one entity serves as the explosive filling or payload contained within a warhead entity.
-
E.
estimatedAmmoniumNitrateMass
Indicates the estimated quantity or mass of ammonium nitrate associated with an entity or event.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abe6b68c8190a5e2a11973f01b8e |
completed | April 18, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69e319cbd79c8190a03587a61c18bec0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.