Triple

T8877294
Position Surface form Disambiguated ID Type / Status
Subject O-4 motorway E211318 entity
Predicate shortName P43 FINISHED
Object O-4
O-4 is a major Turkish motorway forming part of the country's primary east–west highway network.
 E764122 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: O-4 | Statement: [O-4 motorway, shortName, O-4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: O-4
Context triple: [O-4 motorway, shortName, O-4]
  • A. J-4
    J-4 is the logistics directorate within a joint military staff responsible for planning, coordinating, and overseeing logistics and sustainment operations.
  • B. M-40
    M-40 is a state trunkline highway in Michigan that runs north–south through several counties, including Allegan County.
  • C. O-10
    O-10 is the highest pay grade for four-star flag and general officers in the U.S. Armed Forces, including admirals and full generals.
  • D. O-47 observation aircraft
    The O-47 observation aircraft was a pre–World War II American military reconnaissance plane used by the U.S. Army Air Corps for aerial observation and liaison duties.
  • E. M-346 trainer aircraft
    The M-346 is an advanced jet trainer and light attack aircraft designed for lead-in fighter training and tactical roles, widely used by several air forces worldwide.
  • 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: O-4
Triple: [O-4 motorway, shortName, O-4]
Generated description
O-4 is a major Turkish motorway forming part of the country's primary east–west highway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: O-4
Target entity description: O-4 is a major Turkish motorway forming part of the country's primary east–west highway network.
  • A. J-4
    J-4 is the logistics directorate within a joint military staff responsible for planning, coordinating, and overseeing logistics and sustainment operations.
  • B. M-40
    M-40 is a state trunkline highway in Michigan that runs north–south through several counties, including Allegan County.
  • C. O-10
    O-10 is the highest pay grade for four-star flag and general officers in the U.S. Armed Forces, including admirals and full generals.
  • D. O-47 observation aircraft
    The O-47 observation aircraft was a pre–World War II American military reconnaissance plane used by the U.S. Army Air Corps for aerial observation and liaison duties.
  • E. M-346 trainer aircraft
    The M-346 is an advanced jet trainer and light attack aircraft designed for lead-in fighter training and tactical roles, widely used by several air forces worldwide.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61496870819097c55c73aca62aac completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabaf57b88190a71d5303767ab517 completed April 3, 2026, 11:59 a.m.
NEDg Description generation batch_69cfac9c743c8190a26f753111f07281 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad54cf5c81908558fd4c21f2f3b6 completed April 3, 2026, 12:06 p.m.
Created at: March 30, 2026, 6:52 p.m.