Triple
T1359331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W-3 Sokół |
E29061
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object | W-3RM Anakonda |
E29061
|
NE 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: W-3RM Anakonda | Statement: [W-3 Sokół, variant, W-3RM Anakonda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: W-3RM Anakonda Context triple: [W-3 Sokół, variant, W-3RM Anakonda]
-
A.
Scorpion W2
Scorpion W2 is a modern U.S. Army camouflage pattern designed to provide effective concealment across a wide range of environments.
-
B.
Cobra
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
-
C.
Lagarto
Lagarto is a municipality in the Brazilian state of Sergipe, known for its agricultural activities and growing regional commerce.
-
D.
W-3 Sokół
chosen
The W-3 Sokół is a Polish multi-purpose medium helicopter widely used for transport, search and rescue, and military operations.
-
E.
Guabiraba
Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c290db288190910fcfa17e902663 |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce725fec819085f6de8e6e368aa4 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:56 p.m.