Triple

T22909239
Position Surface form Disambiguated ID Type / Status
Subject Ma’an E568542 entity
Predicate locatedNear P294 FINISHED
Object Petra 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: Petra | Statement: [Ma’an, locatedNear, Petra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petra
Context triple: [Ma’an, locatedNear, 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 coastal village and popular tourist resort on the Greek island of Lesbos, known for its sandy beach and the church of Panagia Glykofilousa perched atop a rock in the town center.
  • D. Petra
    Petra is a historic town on the Spanish island of Mallorca, best known as the birthplace of the Franciscan missionary Junípero Serra.
  • E. Petra
    Petra is a character in the romantic comedy film "Last Christmas," which is inspired by the music of George Michael and Wham!.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18072986881909eefb317ced5a145 completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.