Triple

T17255271
Position Surface form Disambiguated ID Type / Status
Subject SIN E418863 entity
Predicate icaoCode P419 FINISHED
Object WSSS E418864 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: WSSS | Statement: [SIN, icaoCode, WSSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WSSS
Context triple: [SIN, icaoCode, WSSS]
  • A. WSSS chosen
    WSSS is the ICAO airport code for Singapore Changi Airport, one of the world’s busiest and most highly rated international air hubs.
  • B. HSSS
    HSSS is the ICAO airport code for Khartoum International Airport, the main international gateway to Sudan’s capital city.
  • C. ZSSS
    ZSSS is the ICAO airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub in Shanghai, China.
  • D. WSW
    WSW is a professional football club based in Western Sydney, Australia, competing in the A-League Men.
  • E. WSW
    WSW is the National Rail station code assigned to Wandsworth Common railway station in London, England.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6c362c819088965c6e05f33faf completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170fd7f7c81908f417fa758e861a2 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.