Triple

T3772210
Position Surface form Disambiguated ID Type / Status
Subject Petra E83222 entity
Predicate nearbyTown P3883 FINISHED
Object Wadi Musa E385740 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: Wadi Musa | Statement: [Petra, nearbyTown, Wadi Musa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wadi Musa
Context triple: [Petra, nearbyTown, Wadi Musa]
  • A. Wadi Musa chosen
    Wadi Musa is a Jordanian town that serves as the main gateway and service hub for visitors to the ancient archaeological site of Petra.
  • B. Wadi an-Nar
    Wadi an-Nar is the Arabic name for the Kidron Valley’s seasonal watercourse that runs between Jerusalem and the Dead Sea.
  • C. Wadi Hanifa
    Wadi Hanifa is a major seasonal river valley in the Riyadh region of Saudi Arabia, known for its historical settlements, agricultural significance, and modern environmental rehabilitation as a scenic natural corridor.
  • D. Wadi Fira
    Wadi Fira is an administrative region in eastern Chad known for its arid Sahelian landscape and predominantly rural population.
  • E. Wadi al-Joz
    Wadi al-Joz is a predominantly Palestinian neighborhood in East Jerusalem known for its light industrial zone, auto-repair workshops, and proximity to the Old City.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc3219b881908a2f82126f9a679d completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f039cd9c81908ea1428f2c328cdb completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:36 p.m.