Triple

T12502340
Position Surface form Disambiguated ID Type / Status
Subject Sharm El Sheikh International Airport E298857 entity
Predicate hasICAOcode P419 FINISHED
Object HESH E880790 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: HESH | Statement: [Sharm El Sheikh International Airport, hasICAOcode, HESH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HESH
Context triple: [Sharm El Sheikh International Airport, hasICAOcode, HESH]
  • A. HESH chosen
    HESH is the ICAO airport code for Sharm El Sheikh International Airport, a major tourist gateway on Egypt’s Red Sea coast.
  • B. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • C. Hish
    Hish was a field corps branch of the Haganah, the main Jewish paramilitary organization in Mandatory Palestine before the establishment of the State of Israel.
  • D. HSH
    HSH is the formal abbreviation used to address or refer to a person holding the noble style "His Serene Highness."
  • E. HSD
    HSD is the City of Seattle’s Human Services Department, responsible for funding and coordinating programs that support the health, safety, and well-being of residents, particularly vulnerable populations.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfcea188190a929db1aabe1a286 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb38e048190bbc96244b71953b6 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.