Triple
T15700640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BLU-116 |
E380582
|
entity |
| Predicate | explosiveFillType |
P120355
|
FINISHED |
| Object | high explosive |
—
|
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: high explosive | Statement: [BLU-116, explosiveFillType, high explosive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: explosiveFillType Context triple: [BLU-116, explosiveFillType, high explosive]
-
A.
explosiveFillerMass
Indicates the amount of explosive material contained within an object or device.
-
B.
explosionType
Indicates the specific kind or category of explosion associated with an event or entity.
-
C.
explosiveMaterialUsed
Indicates that an explosive material was employed or involved in carrying out a particular action or event.
-
D.
explosiveClass
Indicates the classification or category assigned to an explosive based on its type, properties, or regulatory class.
-
E.
explosiveLensType
Indicates the specific design or configuration of the explosive lens used to shape and direct the detonation wave.
- F. None of above. chosen
Provenance (4 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:45 a.m.