Triple

T16946622
Position Surface form Disambiguated ID Type / Status
Subject Angel E411083 entity
Predicate hasTransportNode P2413 FINISHED
Object Angel Underground Station E409817 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: Angel Underground Station | Statement: [Angel, hasTransportNode, Angel Underground Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angel Underground Station
Context triple: [Angel, hasTransportNode, Angel Underground Station]
  • A. Angel Underground station chosen
    Angel Underground station is a London Underground station in the Angel area of Islington, known for its deep platforms and one of the longest escalators on the network.
  • B. Angel station
    Angel station is a London Underground station in Islington, known for serving the Northern line and its notably long escalators.
  • C. The Underground
    "The Underground" is a poem by Seamus Heaney that reflects on love, memory, and artistic inspiration through the metaphor of a journey on the London Underground.
  • D. Central Station
    Central Station was the original name of Lisbon’s historic Rossio railway station, a key 19th-century rail hub known for its distinctive Neo-Manueline architecture.
  • E. Central Station
    Central Station is a key elevated stop on Jacksonville’s automated Skyway people mover system in downtown Jacksonville, Florida.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb25e0c8190948e62d9575ae9cd completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfeca4208190a3b9270869063d3d completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:31 a.m.