Triple

T19029883
Position Surface form Disambiguated ID Type / Status
Subject Rosselló E465705 entity
Predicate containsRiver P165 FINISHED
Object Agly NE NERFINISHED

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 | Statement: [Rosselló, containsRiver, Agly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agly
Context triple: [Rosselló, containsRiver, Agly]
  • 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. Agelo
    Agelo is a small rural village in the Dutch province of Overijssel, known for its agricultural landscape and traditional countryside character.
  • D. Gahal
    Gahal was a right-wing political alliance in Israel formed in the 1960s, primarily uniting the Herut movement with the Liberal Party and serving as a key predecessor to the Likud party.
  • E. Aghbal
    Aghbal is a locality in northern Algeria situated within Tipaza Province, known for its rural character in the coastal Tell region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73f98dc81909acbb366f00d2d54 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.