Triple

T6074036
Position Surface form Disambiguated ID Type / Status
Subject Napoleon’s Syrian campaign E135353 entity
Predicate hasLocation P40 FINISHED
Object El Arish E62765 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: El Arish | Statement: [Napoleon’s Syrian campaign, hasLocation, El Arish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Arish
Context triple: [Napoleon’s Syrian campaign, hasLocation, El Arish]
  • A. El Arish chosen
    El Arish is a coastal city in northeastern Egypt on the Mediterranean Sea, serving as the capital and main urban center of North Sinai Governorate.
  • B. 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.
  • C. Marsa al-Brega
    Marsa al-Brega is a coastal industrial town in northeastern Libya known for its major oil refinery and petrochemical facilities on the Gulf of Sidra.
  • D. Nuweiba
    Nuweiba is a coastal town in Egypt’s Sinai Peninsula known for its port on the Gulf of Aqaba and its role as a gateway for regional maritime travel and tourism.
  • E. Ain El Mreisseh
    Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575b9bc08190a78b3082b9ccf00c completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1357be6fc819092845e1ffe988c16 completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:11 p.m.