Triple
T12608124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ababeel missile |
E301035
|
entity |
| Predicate | MIRVStatus |
P105674
|
FINISHED |
| Object | claimed by Pakistan, not independently verified |
—
|
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: claimed by Pakistan, not independently verified | Statement: [Ababeel missile, MIRVStatus, claimed by Pakistan, not independently verified]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MIRVStatus Context triple: [Ababeel missile, MIRVStatus, claimed by Pakistan, not independently verified]
-
A.
totalReadyToFireMissiles
Indicates the total number of missiles that are currently prepared and available to be launched.
-
B.
missileLaunchCapability
Indicates that an entity has the ability or functionality to launch missiles.
-
C.
maximumWarheadsPerMissile
Indicates the greatest number of warheads that a single missile is allowed or able to carry.
-
D.
armamentStatus
Indicates the current condition or readiness level of an entity’s weapons or military equipment.
-
E.
numberOfDeployedMissilesPeak
Indicates the maximum number of missiles that were deployed at any point in time.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95590a5e08190842b988531cf2921 |
completed | April 10, 2026, 7:54 p.m. |
Created at: April 9, 2026, 5:11 p.m.