Triple

T16923457
Position Surface form Disambiguated ID Type / Status
Subject Targaryen civil war E410504 entity
Predicate mainBelligerent P375 FINISHED
Object Greens E124978 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: Greens | Statement: [Targaryen civil war, mainBelligerent, Greens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greens
Context triple: [Targaryen civil war, mainBelligerent, Greens]
  • A. Greens
    The Greens, or Green Mountains, are a prominent mountain range running through Vermont and into Massachusetts, known for their forested peaks, hiking trails, and inclusion in the Appalachian Mountains.
  • B. Greens chosen
    The Greens were one of the major chariot racing factions in ancient Rome, known for their passionate supporters and fierce rivalry with other teams such as the Blues.
  • C. Greens
    The Greens are a German political party focused on environmental protection, social justice, and progressive democratic policies.
  • D. The Greens
    The Greens is the popular nickname of Panathinaikos B.C., one of Greece’s most successful and storied professional basketball clubs.
  • E. The Greens
    The Greens is the popular nickname of Maccabi Haifa F.C., a prominent Israeli football club known for its green team colors and success in domestic and European competitions.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdf06e8c81908028efef2faa6c6b completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd5e17481909fc4303fcc1342bf completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.