Triple
T13074312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisunov Li-2 |
E329531
|
entity |
| Predicate | notableVariant |
P4680
|
FINISHED |
| Object |
Li-2T
Li-2T is a transport and paratroop variant of the Soviet Lisunov Li-2 aircraft, adapted for military cargo and troop-carrying roles.
|
E1019295
|
NE FINISHED |
How this triple was built (4 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: Li-2T | Statement: [Lisunov Li-2, notableVariant, Li-2T]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Li-2T Context triple: [Lisunov Li-2, notableVariant, Li-2T]
-
A.
LZ-20
LZ-20 is a main road on the island of Lanzarote in Spain’s Canary Islands, providing a key transport route that includes access to the municipality of San Bartolomé.
-
B.
LZ-2
LZ-2 is a major road on the island of Lanzarote in Spain’s Canary Islands that serves as a primary route connecting the capital, Arrecife, with the island’s southern areas.
-
C.
LZ-2
LZ-2 is a designated rocket landing site used for the controlled return and recovery of launch vehicles.
-
D.
LZ-3
LZ-3 is a major road on the island of Lanzarote in Spain’s Canary Islands that serves as a key traffic route around the city of Arrecife.
-
E.
Yongqi
Yongqi was a Qing dynasty imperial prince, noted as one of the most talented sons of the Qianlong Emperor before his early death.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Li-2T Triple: [Lisunov Li-2, notableVariant, Li-2T]
Generated description
Li-2T is a transport and paratroop variant of the Soviet Lisunov Li-2 aircraft, adapted for military cargo and troop-carrying roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Li-2T Target entity description: Li-2T is a transport and paratroop variant of the Soviet Lisunov Li-2 aircraft, adapted for military cargo and troop-carrying roles.
-
A.
LZ-20
LZ-20 is a main road on the island of Lanzarote in Spain’s Canary Islands, providing a key transport route that includes access to the municipality of San Bartolomé.
-
B.
LZ-2
LZ-2 is a major road on the island of Lanzarote in Spain’s Canary Islands that serves as a primary route connecting the capital, Arrecife, with the island’s southern areas.
-
C.
LZ-2
LZ-2 is a designated rocket landing site used for the controlled return and recovery of launch vehicles.
-
D.
LZ-3
LZ-3 is a major road on the island of Lanzarote in Spain’s Canary Islands that serves as a key traffic route around the city of Arrecife.
-
E.
Yongqi
Yongqi was a Qing dynasty imperial prince, noted as one of the most talented sons of the Qianlong Emperor before his early death.
- F. None of above. chosen
Provenance (5 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d608a2288190bf07023a5303f887 |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d6e326408190b7906c7ea8e3ef85 |
completed | May 3, 2026, 5:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d873b978819097962c82e8ffdac8 |
completed | May 3, 2026, 5:09 a.m. |
Created at: April 9, 2026, 9 p.m.