Triple

T8465916
Position Surface form Disambiguated ID Type / Status
Subject Township of King E200159 entity
Predicate hasCommunity P2605 FINISHED
Object Kinghorn Station E16126 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: Kinghorn Station | Statement: [Township of King, hasCommunity, Kinghorn Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinghorn Station
Context triple: [Township of King, hasCommunity, Kinghorn Station]
  • A. Kinghorn railway station chosen
    Kinghorn railway station is a coastal railway stop in the town of Kinghorn, Fife, Scotland, providing passenger services on the local commuter and regional network.
  • B. Highlands station
    Highlands station is a commuter rail stop in Hinsdale, Illinois, serving local passengers on the Metra BNSF Railway Line in the Chicago metropolitan area.
  • C. Highland station
    Highland station is a SEPTA Regional Rail stop in Philadelphia, Pennsylvania, serving passengers on the Chestnut Hill West Line.
  • D. Cumming station
    Cumming station is an underground stop on Santiago’s Metro network, serving Line 5 in the central area of Chile’s capital city.
  • E. McEwan Station
    McEwan Station is a light rail transit stop on Edmonton’s LRT network in Edmonton, Alberta, Canada.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d17ec8819093becdaec750aff5 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39e0d7788190add03271c940e1ff completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:11 p.m.