Triple

T5669659
Position Surface form Disambiguated ID Type / Status
Subject Butuan E124942 entity
Predicate hasAirport P105 FINISHED
Object Bancasi Airport
Bancasi Airport is a domestic airport serving the city of Butuan in the Caraga region of Mindanao in the Philippines.
E535650 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: Bancasi Airport | Statement: [Butuan, hasAirport, Bancasi Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bancasi Airport
Context triple: [Butuan, hasAirport, Bancasi Airport]
  • A. Matei Airport
    Matei Airport is a small regional airport serving the island of Taveuni in Fiji, providing domestic connections and access for tourists to the island’s resorts and natural attractions.
  • B. 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.
  • C. Ugolny Airport
    Ugolny Airport is the main commercial airport serving the remote Arctic city of Anadyr in Russia’s Chukotka Autonomous Okrug.
  • D. Yola Airport
    Yola Airport is a regional airport serving the city of Yola in northeastern Nigeria, handling domestic flights and limited international traffic.
  • E. Bata Airport
    Bata Airport is the main public airport serving the coastal city of Bata in Equatorial Guinea, handling both domestic and limited 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: Bancasi Airport
Triple: [Butuan, hasAirport, Bancasi Airport]
Generated description
Bancasi Airport is a domestic airport serving the city of Butuan in the Caraga region of Mindanao in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bancasi Airport
Target entity description: Bancasi Airport is a domestic airport serving the city of Butuan in the Caraga region of Mindanao in the Philippines.
  • A. Matei Airport
    Matei Airport is a small regional airport serving the island of Taveuni in Fiji, providing domestic connections and access for tourists to the island’s resorts and natural attractions.
  • B. 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.
  • C. Ugolny Airport
    Ugolny Airport is the main commercial airport serving the remote Arctic city of Anadyr in Russia’s Chukotka Autonomous Okrug.
  • D. Yola Airport
    Yola Airport is a regional airport serving the city of Yola in northeastern Nigeria, handling domestic flights and limited international traffic.
  • E. Bata Airport
    Bata Airport is the main public airport serving the coastal city of Bata in Equatorial Guinea, handling both domestic and limited 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0234891d48190bf662f38ef84d4f3 completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04db2c07c8190a3ee489146951d2d completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ee03d1c819096a5acf0358165c1 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ffb0fb8819080dff2a9ec6eacb4 completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:43 p.m.