Triple

T8641705
Position Surface form Disambiguated ID Type / Status
Subject Nabataean inscriptions E204666 entity
Predicate geographicRegion P285 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: [Nabataean inscriptions, geographicRegion, Petra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petra
Context triple: [Nabataean inscriptions, geographicRegion, 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. Hatra
    Hatra is an ancient fortified city in northern Iraq, renowned for its well-preserved blend of Hellenistic and Parthian architecture and its role as a major religious and trading center in the early centuries CE.
  • C. Daulis
    Daulis was an ancient Greek city in the region of Phocis, known from classical sources and associated with various local myths and traditions.
  • D. Anjar
    Anjar is a historic town in Lebanon renowned for its well-preserved Umayyad-era archaeological site and distinctive urban layout.
  • E. Anjar
    Anjar is a historic town in the Kutch district of Gujarat, India, known for its traditional architecture and its devastation in the 2001 Gujarat earthquake.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4795b07081908bfc9ebf35a50f07 completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc3b1f508190978df29d995f494c completed April 2, 2026, 6:58 p.m.
Created at: March 30, 2026, 6:28 p.m.