Triple

T19151344
Position Surface form Disambiguated ID Type / Status
Subject Lower Station E468814 entity
Predicate name P16 FINISHED
Object Lower Station E468814 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: Lower Station | Statement: [Lower Station, name, Lower Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lower Station
Context triple: [Lower Station, name, Lower Station]
  • A. Lower Station chosen
    Lower Station is the riverside terminal of Pittsburgh’s historic Duquesne Incline funicular, serving as the boarding point near the base of Mount Washington.
  • B. Gran Station
    Gran Station is a local railway station serving the municipality of Gran in Innlandet county, Norway.
  • C. Low Town station
    Low Town station is the lower terminus of the Bridgnorth Cliff Railway funicular in Bridgnorth, Shropshire, providing access between the town’s low and high areas.
  • D. Upper Station
    Upper Station is the hilltop terminal of Pittsburgh’s historic Duquesne Incline funicular, serving as its upper boarding and observation point.
  • E. Lawrence Station
    Lawrence Station is a Caltrain commuter rail station in Sunnyvale, California, serving passengers along the San Francisco Peninsula rail corridor.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97cfaa08190b7085d28fe970108 completed April 20, 2026, 8:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f25476488190aa7dd874a54ecb91 completed May 15, 2026, 10:15 a.m.
Created at: April 10, 2026, 12:06 p.m.