Triple
T26326933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qassam rockets |
E662276
|
entity |
| Predicate | typicalWarheadMass |
P13820
|
FINISHED |
| Object | about 5 to 10 kilograms for early models |
—
|
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 5 to 10 kilograms for early models | Statement: [Qassam rockets, typicalWarheadMass, about 5 to 10 kilograms for early models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWarheadMass Context triple: [Qassam rockets, typicalWarheadMass, about 5 to 10 kilograms for early models]
-
A.
warheadMass
chosen
Indicates the mass or weight of a warhead associated with an entity or system.
-
B.
warheadDiameter
Indicates the size of a warhead measured across its widest cross-sectional dimension.
-
C.
missileWeight
Indicates the weight or mass associated with a missile in the relationship.
-
D.
warheadTypes
Indicates the types or categories of warheads associated with a given weapon or delivery system.
-
E.
usedAsWarheadFor
Indicates that something functions as the explosive or destructive payload component for a specified weapon or delivery system.
- 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_69ee812f32748190871d970c4e2a8ddf |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
Created at: April 26, 2026, 10:31 p.m.