Triple

T9275067
Position Surface form Disambiguated ID Type / Status
Subject Tartu railway station E222924 entity
Predicate hasIataCode P2569 FINISHED
Object XEE
XEE is the IATA airport-style station code used to identify Tartu railway station in Estonia’s rail and travel booking systems.
 E787953 NE FINISHED

How this triple was built (4 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: XEE | Statement: [Tartu railway station, hasIataCode, XEE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XEE
Context triple: [Tartu railway station, hasIataCode, XEE]
  • A. XQE
    XQE is the IATA station code for Ebbsfleet International, a major high-speed rail hub in Kent, England.
  • B. QXE
    QXE is the ICAO airline designator used to identify Horizon Air in international aviation operations.
  • C. EXD
    EXD is the three-letter National Rail station code for Exeter St Davids railway station in Exeter, England.
  • D. Xylok
    Xylok is a fictional alien species, likely characterized by non-human biology and culture, to which the character Mr Smith belongs.
  • E. Eext
    Eext is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: XEE
Triple: [Tartu railway station, hasIataCode, XEE]
Generated description
XEE is the IATA airport-style station code used to identify Tartu railway station in Estonia’s rail and travel booking systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XEE
Target entity description: XEE is the IATA airport-style station code used to identify Tartu railway station in Estonia’s rail and travel booking systems.
  • A. XQE
    XQE is the IATA station code for Ebbsfleet International, a major high-speed rail hub in Kent, England.
  • B. QXE
    QXE is the ICAO airline designator used to identify Horizon Air in international aviation operations.
  • C. EXD
    EXD is the three-letter National Rail station code for Exeter St Davids railway station in Exeter, England.
  • D. Xylok
    Xylok is a fictional alien species, likely characterized by non-human biology and culture, to which the character Mr Smith belongs.
  • E. Eext
    Eext is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
  • F. None of above. chosen

Provenance (5 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd078a045c8190b2c4d1ec64b932ad completed April 1, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c3dd140819099fc0e95c4d48ba9 completed April 4, 2026, 5:06 a.m.
NEDg Description generation batch_69d09cf1f2f48190b53e062c3eb4565d completed April 4, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69d09d9739d48190ac3b240390f36c38 completed April 4, 2026, 5:11 a.m.
Created at: March 30, 2026, 7:34 p.m.