Triple

T11267178
Position Surface form Disambiguated ID Type / Status
Subject Watford tube station E266716 entity
Predicate hasRailcode P27071 FINISHED
Object WAF E915089 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: WAF | Statement: [Watford tube station, hasRailcode, WAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAF
Context triple: [Watford tube station, hasRailcode, WAF]
  • A. WAF
    WAF is the vehicle registration code used on license plates for vehicles registered in the district of Warendorf in North Rhine-Westphalia, Germany.
  • B. WAF chosen
    WAF is the three-letter station code used to identify Watford tube station on the London Underground network.
  • C. AWS WAF
    AWS WAF is a cloud-based web application firewall service that helps protect web applications and APIs from common web exploits and bots.
  • D. AIOWF
    AIOWF is the collective body representing the international federations that govern sports featured in the Olympic Winter Games.
  • E. WAFU
    WAFU is the West African Football Union, a regional governing body for football in West Africa under the Confederation of African Football.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94e5e3c8190a31995d55d20d7ed completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f4229c7081909da6b22ee6bf4905 completed April 19, 2026, 3:26 p.m.
Created at: April 8, 2026, 9:31 p.m.