Triple

T32290791
Position Surface form Disambiguated ID Type / Status
Subject Chuuk International Airport E824960 entity
Predicate alsoKnownAs P39 FINISHED
Object Weno International Airport
Weno International Airport is the main airport serving Chuuk State in the Federated States of Micronesia, providing regional flights and access to the island of Weno and the surrounding lagoon.
E2003594 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: Weno International Airport | Statement: [Chuuk International Airport, alsoKnownAs, Weno International Airport]
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: Weno International Airport
Triple: [Chuuk International Airport, alsoKnownAs, Weno International Airport]
Generated description
Weno International Airport is the main airport serving Chuuk State in the Federated States of Micronesia, providing regional flights and access to the island of Weno and the surrounding lagoon.

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_69f349101b788190b4f14884dc7d1ed2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bd334be48190a0b648eb8b9f1899 completed May 3, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e892e7a08190941704603f2fcaab completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33ea4c34688190b92a5cc87b56bd08 completed June 18, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_6a342cb4168c8190bdbf08ddae3d6811 completed June 18, 2026, 5:36 p.m.
Created at: May 1, 2026, 12:44 a.m.