Triple

T11679901
Position Surface form Disambiguated ID Type / Status
Subject Katipunan station E277587 entity
Predicate hasStationCode P1289 FINISHED
Object KAT
KAT is the station code used to identify Katipunan station in the Manila Metro Rail Transit system.
 E940552 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: KAT | Statement: [Katipunan station, hasStationCode, KAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KAT
Context triple: [Katipunan station, hasStationCode, KAT]
  • A. KAT
    KAT is the public transportation system serving Knoxville, Tennessee, operating local bus and transit services throughout the city and surrounding areas.
  • B. KATS
    KATS is the electronic trading platform used by the Pakistan Stock Exchange to facilitate and manage securities trading.
  • C. Kats
    Kats is a small village on the Dutch island of Noord-Beveland in the province of Zeeland, known for its rural character and proximity to the Oosterschelde.
  • D. Kath
    Kath is an ancient city in the Khwarazm region of Central Asia, historically significant as a cultural and scholarly center of the Islamic Golden Age.
  • E. KT
    KT is the post-nominal abbreviation for Knight of the Order of the Thistle, one of Scotland’s highest and oldest orders of chivalry.
  • 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: KAT
Triple: [Katipunan station, hasStationCode, KAT]
Generated description
KAT is the station code used to identify Katipunan station in the Manila Metro Rail Transit system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KAT
Target entity description: KAT is the station code used to identify Katipunan station in the Manila Metro Rail Transit system.
  • A. KAT
    KAT is the public transportation system serving Knoxville, Tennessee, operating local bus and transit services throughout the city and surrounding areas.
  • B. KATS
    KATS is the electronic trading platform used by the Pakistan Stock Exchange to facilitate and manage securities trading.
  • C. Kats
    Kats is a small village on the Dutch island of Noord-Beveland in the province of Zeeland, known for its rural character and proximity to the Oosterschelde.
  • D. Kath
    Kath is an ancient city in the Khwarazm region of Central Asia, historically significant as a cultural and scholarly center of the Islamic Golden Age.
  • E. KT
    KT is the post-nominal abbreviation for Knight of the Order of the Thistle, one of Scotland’s highest and oldest orders of chivalry.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a461b0908190bef4e1c6777affcf completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef14007dd08190b60640be9949ca26 completed April 27, 2026, 7:45 a.m.
NEDg Description generation batch_69ef35527f908190b681afdae3aec319 completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51ec07ec8190b5cd97cf909388f0 completed April 27, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:40 p.m.