Triple

T17372664
Position Surface form Disambiguated ID Type / Status
Subject Wallops Island E422354 entity
Predicate hasIataCode P2569 FINISHED
Object WAL
WAL is the IATA airport code for the airfield serving Wallops Island, home to NASA’s Wallops Flight Facility on the eastern shore of Virginia, USA.
 E1266607 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: WAL | Statement: [Wallops Island, hasIataCode, WAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WAL
Context triple: [Wallops Island, hasIataCode, WAL]
  • A. WAL
    WAL is the official FIFA country code used to represent the Wales national football team in international competitions and records.
  • B. WAL
    WAL is the National Rail station code for Walton-on-Thames railway station in Surrey, England.
  • C. WF-WAL
    WF-WAL is the ISO 3166-2 subdivision code assigned to Wallis (ʻUvea), one of the main island groups of the French overseas collectivity of Wallis and Futuna in the South Pacific.
  • D. wal
    "wal" is the ISO 639-2 language code for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
  • E. WL
    WL is the station code for Lutherstadt Wittenberg railway station in Germany.
  • 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: WAL
Triple: [Wallops Island, hasIataCode, WAL]
Generated description
WAL is the IATA airport code for the airfield serving Wallops Island, home to NASA’s Wallops Flight Facility on the eastern shore of Virginia, USA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WAL
Target entity description: WAL is the IATA airport code for the airfield serving Wallops Island, home to NASA’s Wallops Flight Facility on the eastern shore of Virginia, USA.
  • A. WAL
    WAL is the official FIFA country code used to represent the Wales national football team in international competitions and records.
  • B. WAL
    WAL is the National Rail station code for Walton-on-Thames railway station in Surrey, England.
  • C. WF-WAL
    WF-WAL is the ISO 3166-2 subdivision code assigned to Wallis (ʻUvea), one of the main island groups of the French overseas collectivity of Wallis and Futuna in the South Pacific.
  • D. wal
    "wal" is the ISO 639-2 language code for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
  • E. WL
    WL is the station code for Lutherstadt Wittenberg railway station in Germany.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6a9ec881908bfe49413826d37e completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019fef65b48190811f2e034672b572 completed May 11, 2026, 9:22 a.m.
NEDg Description generation batch_6a01a176d2488190951bbe07233a37e4 completed May 11, 2026, 9:29 a.m.
NED2 Entity disambiguation (via description) batch_6a01a58b12088190828078c69c4fff4b completed May 11, 2026, 9:46 a.m.
Created at: April 10, 2026, 5:44 a.m.