Triple

T36637923
Position Surface form Disambiguated ID Type / Status
Subject European Travel Information and Authorisation System E904509 entity
Predicate comparableTo P278 FINISHED
Object United States ESTA
The United States ESTA is an online travel authorization system that pre-screens eligible foreign nationals before they travel to the U.S. under the Visa Waiver Program.
E2193780 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: United States ESTA | Statement: [European Travel Information and Authorisation System, comparableTo, United States ESTA]
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: United States ESTA
Triple: [European Travel Information and Authorisation System, comparableTo, United States ESTA]
Generated description
The United States ESTA is an online travel authorization system that pre-screens eligible foreign nationals before they travel to the U.S. under the Visa Waiver Program.

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_69f76e6c63e48190b1d0c3a79a6c7406 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c4d91a8481909eeb141394e7566c completed May 3, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a20c3dfc881909fa9774a94bcaa1a completed June 23, 2026, 5:59 a.m.
NEDg Description generation batch_6a3a23ec903c8190986e7561a92df978 completed June 23, 2026, 6:13 a.m.
NED2 Entity disambiguation (via description) batch_6a3a244673088190a7fa8ee2d1f040d8 completed June 23, 2026, 6:14 a.m.
Created at: May 3, 2026, 4:11 p.m.