Triple
T4643243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 03 Chū-SAM |
E101703
|
entity |
| Predicate | missileWeight |
P57560
|
FINISHED |
| Object | approximately 570 kg |
—
|
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 570 kg | Statement: [Type 03 Chū-SAM, missileWeight, approximately 570 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missileWeight Context triple: [Type 03 Chū-SAM, missileWeight, approximately 570 kg]
-
A.
warheadMass
Indicates the mass or weight of a warhead associated with an entity or system.
-
B.
usesMissileSystem
Indicates that one entity employs or operates a particular missile system as part of its capabilities or actions.
-
C.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
D.
approximateNumberOfMissilesEliminated
Indicates the estimated quantity of missiles that have been neutralized or removed.
-
E.
massAtLiftoff
Indicates the total mass an object or vehicle has at the moment it leaves the ground or launch platform.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a93047c8190990c94fd5a57c867 |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5234d24c819095c79890b70eff9a |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:14 p.m.