Triple

T8526723
Position Surface form Disambiguated ID Type / Status
Subject Battle of Aror E201836 entity
Predicate place P373 FINISHED
Object Aror E659381 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: Aror | Statement: [Battle of Aror, place, Aror]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aror
Context triple: [Battle of Aror, place, Aror]
  • A. Aror chosen
    Aror was an ancient city in Sindh, in present-day Pakistan, historically significant as a major political and cultural center of the region.
  • B. Aroab
    Aroab is a small town in southern Namibia known for its remote desert setting and role as a local service center for surrounding farming communities.
  • C. Orkh
    Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
  • D. Aro
    Aro is a powerful and ancient vampire in the Twilight series, known as one of the three ruling leaders of the Volturi coven and for his ability to read every thought a person has ever had through touch.
  • E. Anorhor
    Anorhor is a local administrative area or community that forms part of the larger Osu traditional or municipal jurisdiction.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6477100819081fa20cb6b8ea3d7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d49c1408190b7c23739409d1e3d completed April 2, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:16 p.m.