Triple

T25430346
Position Surface form Disambiguated ID Type / Status
Subject Henderson Field (Midway Atoll) E637234 entity
Predicate hasAlternativeName P39 FINISHED
Object Midway Islands Airport
Midway Islands Airport is a small public airfield on Midway Atoll in the North Pacific Ocean, primarily serving military, conservation, and limited civilian operations.
E1681765 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: Midway Islands Airport | Statement: [Henderson Field (Midway Atoll), hasAlternativeName, Midway Islands 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: Midway Islands Airport
Triple: [Henderson Field (Midway Atoll), hasAlternativeName, Midway Islands Airport]
Generated description
Midway Islands Airport is a small public airfield on Midway Atoll in the North Pacific Ocean, primarily serving military, conservation, and limited civilian operations.

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_69e75db58a1c8190891b9ff7c2f8414e completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f6d9e4b081908aa8d80bb6ea2b02 completed May 2, 2026, 1:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad594914819095995ca301fe5e2b completed May 22, 2026, 7:24 p.m.
NEDg Description generation batch_6a10adba8e0c8190af36d9471078272a completed May 22, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a10ae3652a88190afab1481d34ed1e5 completed May 22, 2026, 7:27 p.m.
Created at: April 21, 2026, 1:58 p.m.