Triple

T9079916
Position Surface form Disambiguated ID Type / Status
Subject Agly River E217589 entity
Predicate hasNameInLanguage P15 FINISHED
Object Agly@en E85349 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: Agly@en | Statement: [Agly River, hasNameInLanguage, Agly@en]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agly@en
Context triple: [Agly River, hasNameInLanguage, Agly@en]
  • A. Agly chosen
    The Agly is a river in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
  • B. Gla
    Gla is a large fortified Mycenaean archaeological site in Boeotia, Greece, notable for its massive walls and strategic position overlooking the former Lake Kopais.
  • C. GLA
    GLA is the three-letter IATA airport code for Glasgow Airport, the main international airport serving Glasgow, Scotland.
  • D. AGGH
    AGGH is the ICAO airport code for Honiara International Airport, the main international gateway to the Solomon Islands.
  • E. Galy Gay
    Galy Gay is the naive and easily influenced protagonist of Bertolt Brecht’s play "A Man’s a Man," whose identity is gradually transformed through absurd and satirical circumstances.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9607942c8190a21620892ce3cbe5 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe2103448190bbc09436f19c4f11 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.