Triple

T11463355
Position Surface form Disambiguated ID Type / Status
Subject Incense Route Cities in the Negev E271715 entity
Predicate includesSite P5003 FINISHED
Object Mamshit E271717 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: Mamshit | Statement: [Incense Route Cities in the Negev, includesSite, Mamshit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mamshit
Context triple: [Incense Route Cities in the Negev, includesSite, Mamshit]
  • A. Mamshit chosen
    Mamshit is an ancient Nabatean trading city and UNESCO World Heritage archaeological site located in Israel’s Negev desert.
  • B. Baby-G
    Baby-G is a line of durable, fashion-oriented digital watches designed by Casio, often featuring shock resistance, water resistance, and colorful, youth-focused styling.
  • C. Mamu
    Mamu is a notable Odia novel by Fakir Mohan Senapati that satirically portrays social and political life in colonial Odisha.
  • D. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • E. Babo
    Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f488248190b9f603cd31c72174 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e92a7c2881908d85009a6069b2e4 completed April 20, 2026, 8:51 a.m.
Created at: April 8, 2026, 9:35 p.m.