Triple

T13820653
Position Surface form Disambiguated ID Type / Status
Subject Arabia Petraea E332125 entity
Predicate hasFormerCapital P3417 FINISHED
Object Petra E83222 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: Petra | Statement: [Arabia Petraea, hasFormerCapital, Petra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petra
Context triple: [Arabia Petraea, hasFormerCapital, Petra]
  • A. Petra chosen
    Petra is an ancient rock-cut city in southern Jordan renowned for its monumental sandstone architecture and role as the former capital of the Nabataean Kingdom.
  • B. Petra
    Petra is a brave and skilled warrior character from the episodic adventure game Minecraft: Story Mode, known for her combat prowess and loyalty to her friends.
  • C. Petra
    Petra is a character in the romantic comedy film "Last Christmas," which is inspired by the music of George Michael and Wham!.
  • D. Ko Petra
    Ko Petra is a small, scenic island in Thailand’s Trang Province, known for its limestone cliffs, clear waters, and tranquil, less-developed beaches.
  • E. Saqqez
    Saqqez is a historically significant Kurdish city in western Iran known as one of the main urban centers of Kurdistan Province.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0282d4d08190b754cda7683408c4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e966c48190abe109d44300014a completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:12 p.m.