Triple

T9673383
Position Surface form Disambiguated ID Type / Status
Subject Norwich Thorpe E234084 entity
Predicate hasIataCode P2569 FINISHED
Object XNM E234085 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: XNM | Statement: [Norwich Thorpe, hasIataCode, XNM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XNM
Context triple: [Norwich Thorpe, hasIataCode, XNM]
  • A. XNM chosen
    XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
  • B. BXM
    BXM is the railway station code for Brussels-South (Bruxelles-Midi / Brussel-Zuid), the main international and domestic rail hub in Brussels, Belgium.
  • C. Xan
    Xan is a short, informal diminutive of the given name Xander.
  • D. XZN
    XZN is the IATA station code assigned to the Avignon TGV high-speed railway station in southeastern France.
  • E. XMN
    XMN is the IATA airport code for Xiamen Gaoqi International Airport, the main air gateway serving Xiamen in Fujian Province, China.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6c05c481909885bfdb850e7527 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a2d030c8190ada52e855bc9afc8 completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:15 p.m.