Triple

T2497635
Position Surface form Disambiguated ID Type / Status
Subject Negev desert E52188 entity
Predicate contains P35 FINISHED
Object Ovda Airport
Ovda Airport is a former Israeli military and civilian airport in the southern Negev desert that served as an alternative international gateway near Eilat.
E271714 NE FINISHED

How this triple was built (4 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: Ovda Airport | Statement: [Negev desert, contains, Ovda Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ovda Airport
Context triple: [Negev desert, contains, Ovda Airport]
  • A. Gardabya Airport
    Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
  • B. Rowriah Airport
    Rowriah Airport is a domestic airport serving the city of Jorhat in the Indian state of Assam.
  • C. Ozar Airport
    Ozar Airport is a public airport serving the city of Nashik in Maharashtra, India, handling both civilian and limited military aviation operations.
  • D. Almaza Airport
    Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
  • E. Strigino International Airport
    Strigino International Airport is the main commercial airport serving Nizhny Novgorod, Russia, handling both domestic and international flights.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ovda Airport
Triple: [Negev desert, contains, Ovda Airport]
Generated description
Ovda Airport is a former Israeli military and civilian airport in the southern Negev desert that served as an alternative international gateway near Eilat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ovda Airport
Target entity description: Ovda Airport is a former Israeli military and civilian airport in the southern Negev desert that served as an alternative international gateway near Eilat.
  • A. Gardabya Airport
    Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
  • B. Rowriah Airport
    Rowriah Airport is a domestic airport serving the city of Jorhat in the Indian state of Assam.
  • C. Ozar Airport
    Ozar Airport is a public airport serving the city of Nashik in Maharashtra, India, handling both civilian and limited military aviation operations.
  • D. Almaza Airport
    Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
  • E. Strigino International Airport
    Strigino International Airport is the main commercial airport serving Nizhny Novgorod, Russia, handling both domestic and international flights.
  • F. None of above. chosen

Provenance (5 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ad2f8c81908853e97d75081e84 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f9be594819099a03a2784691124 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af200e2db4819085851a45213edc89 completed March 9, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69af208dfab081909d706aad8ff5f615 completed March 9, 2026, 7:33 p.m.
Created at: March 6, 2026, 9:46 p.m.