Triple
T9525936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torpex |
E229759
|
entity |
| Predicate | relativeEffectivenessFactor |
P84339
|
FINISHED |
| Object | approximately 1.5 times TNT |
—
|
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: approximately 1.5 times TNT | Statement: [Torpex, relativeEffectivenessFactor, approximately 1.5 times TNT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeEffectivenessFactor Context triple: [Torpex, relativeEffectivenessFactor, approximately 1.5 times TNT]
-
A.
measuredEffect
Indicates that an action or process has produced a specific, quantified outcome or impact on something.
-
B.
effectivenessAgainst
chosen
Indicates how well one entity performs in countering, influencing, or mitigating the impact of another entity.
-
C.
competitiveEffect
Indicates that one entity’s actions or presence influence another entity’s ability to compete, typically by enhancing or diminishing its competitive position or performance.
-
D.
effectOnOthers
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
E.
tierEffect
Indicates how belonging to a particular tier influences or modifies the outcome, behavior, or properties associated with that tier.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989b529c81909ee18dd3d468c816 |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca56a3d088190bdc16670678fb6c6 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:59 p.m.