Triple

T3107478
Position Surface form Disambiguated ID Type / Status
Subject Namdrik Atoll E64866 entity
Predicate hasAirport P105 FINISHED
Object Namdrik Airport
Namdrik Airport is a small airstrip serving the remote Namdrik Atoll in the Marshall Islands, providing vital air transport links for its local community.
E329351 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: Namdrik Airport | Statement: [Namdrik Atoll, hasAirport, Namdrik Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namdrik Airport
Context triple: [Namdrik Atoll, hasAirport, Namdrik Airport]
  • A. Tunoshna Airport
    Tunoshna Airport is a regional airport serving the city of Yaroslavl in Russia, handling both domestic passenger flights and cargo operations.
  • B. Dumna Airport
    Dumna Airport is a domestic airport serving the city of Jabalpur in the Indian state of Madhya Pradesh.
  • C. Inyokern Airport
    Inyokern Airport is a public airport in Kern County, California, primarily serving the Ridgecrest area and the surrounding high desert communities.
  • D. Nadym Airport
    Nadym Airport is a regional airport in Nadym, Russia, primarily serving as a key base for operations in the Yamalo-Nenets Autonomous Okrug.
  • E. Muanda Airport
    Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
  • 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: Namdrik Airport
Triple: [Namdrik Atoll, hasAirport, Namdrik Airport]
Generated description
Namdrik Airport is a small airstrip serving the remote Namdrik Atoll in the Marshall Islands, providing vital air transport links for its local community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Namdrik Airport
Target entity description: Namdrik Airport is a small airstrip serving the remote Namdrik Atoll in the Marshall Islands, providing vital air transport links for its local community.
  • A. Tunoshna Airport
    Tunoshna Airport is a regional airport serving the city of Yaroslavl in Russia, handling both domestic passenger flights and cargo operations.
  • B. Dumna Airport
    Dumna Airport is a domestic airport serving the city of Jabalpur in the Indian state of Madhya Pradesh.
  • C. Inyokern Airport
    Inyokern Airport is a public airport in Kern County, California, primarily serving the Ridgecrest area and the surrounding high desert communities.
  • D. Nadym Airport
    Nadym Airport is a regional airport in Nadym, Russia, primarily serving as a key base for operations in the Yamalo-Nenets Autonomous Okrug.
  • E. Muanda Airport
    Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29d4aa8819093287bc71370fc05 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f5994088190abc4b56040922c16 completed March 12, 2026, 12:56 a.m.
NEDg Description generation batch_69b212fbb90c819098957f3e6b1b7203 completed March 12, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_69b2137fa3808190bc4c3a333ae250cd completed March 12, 2026, 1:14 a.m.
Created at: March 8, 2026, 3:04 p.m.