Triple

T1722012
Position Surface form Disambiguated ID Type / Status
Subject Airbus A300 E37411 entity
Predicate ICAOTypeDesignator P16898 FINISHED
Object A30B
A30B is the ICAO aircraft type designator used to identify the Airbus A300 in aviation operations and documentation.
 E193974 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: A30B | Statement: [Airbus A300, ICAOTypeDesignator, A30B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A30B
Context triple: [Airbus A300, ICAOTypeDesignator, A30B]
  • A. A35
    A35 is a major French motorway in the Alsace region that runs north–south near the German border, connecting cities such as Strasbourg and Mulhouse.
  • B. A361
    The A361 is a major road in southwest England that links the town of Barnstaple with other key routes and destinations in the region.
  • C. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • D. BB-36
    BB-36 is the hull classification symbol for USS Nevada, a U.S. Navy battleship notable for its service during both World Wars and survival of the Pearl Harbor attack.
  • E. A3
    A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
  • 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: A30B
Triple: [Airbus A300, ICAOTypeDesignator, A30B]
Generated description
A30B is the ICAO aircraft type designator used to identify the Airbus A300 in aviation operations and documentation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A30B
Target entity description: A30B is the ICAO aircraft type designator used to identify the Airbus A300 in aviation operations and documentation.
  • A. A35
    A35 is a major French motorway in the Alsace region that runs north–south near the German border, connecting cities such as Strasbourg and Mulhouse.
  • B. A361
    The A361 is a major road in southwest England that links the town of Barnstaple with other key routes and destinations in the region.
  • C. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • D. BB-36
    BB-36 is the hull classification symbol for USS Nevada, a U.S. Navy battleship notable for its service during both World Wars and survival of the Pearl Harbor attack.
  • E. A3
    A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635703dc8190809260de43b72ea3 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8aeca12881908efad5991bb0f12b completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957bd63c819099a508ca5c4102cc completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b18f9c8190a9c5ed80b5ed0195 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.