Triple

T16978123
Position Surface form Disambiguated ID Type / Status
Subject Siene E411866 entity
Predicate alternateNameOf P39 FINISHED
Object Syene E81995 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: Syene | Statement: [Siene, alternateNameOf, Syene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syene
Context triple: [Siene, alternateNameOf, Syene]
  • A. Syene chosen
    Syene is the ancient Egyptian city located at the first cataract of the Nile, known today as Aswan and historically important as a frontier town and trade hub.
  • B. Tarhuna
    Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
  • C. Tachelhit
    Tachelhit is a Berber (Amazigh) language spoken primarily in southwestern Morocco, especially in the Souss region and the High Atlas mountains.
  • D. Asilah
    Asilah is a historic fortified coastal town in northern Morocco known for its whitewashed medina, Atlantic beaches, and annual cultural and arts festivals.
  • E. Sidi Barrani
    Sidi Barrani is a small coastal town in northwestern Egypt that gained historical significance as a key site of military operations during World War II’s North African campaign.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d185a9408190a991bf8a1ef694f0 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d477f7ec81909f1f0243004c9050 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:32 a.m.