Triple

T18747224
Position Surface form Disambiguated ID Type / Status
Subject Hadramawt E458434 entity
Predicate majorCity P316 FINISHED
Object Shibam 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: Shibam | Statement: [Hadramawt, majorCity, Shibam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shibam
Context triple: [Hadramawt, majorCity, Shibam]
  • A. Shibam chosen
    Shibam is an ancient Yemeni city famed for its dense cluster of multi-story mudbrick tower houses, often called the "Manhattan of the Desert."
  • B. Harar
    Harar is a historic fortified city in eastern Ethiopia renowned for its ancient Islamic heritage, distinctive city walls, and status as a UNESCO World Heritage Site.
  • C. Artah
    Artah was a strategically significant medieval town near Antioch that served as an important military and administrative center in the Crusader-era Principality of Antioch.
  • D. Ubari
    Ubari is an oasis town in southwestern Libya’s Fezzan region, known for its nearby sand dunes and picturesque desert lakes.
  • E. Ras Lanuf
    Ras Lanuf is a major oil port and industrial town on Libya’s Mediterranean coast, known for its large refinery and strategic role in the country’s petroleum exports.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e576936cf08190b3c0d2f4e8a616fc completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.