Triple

T16132002
Position Surface form Disambiguated ID Type / Status
Subject Kurla railway station E391420 entity
Predicate hasStationCode P1289 FINISHED
Object KURL
KURL is the station code for Kurla railway station, a major suburban and intercity rail hub in Mumbai, India.
 E1195304 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: KURL | Statement: [Kurla railway station, hasStationCode, KURL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KURL
Context triple: [Kurla railway station, hasStationCode, KURL]
  • A. Kur
    Kur is the ancient Mesopotamian underworld, a dark subterranean realm of the dead ruled by the goddess Ereshkigal.
  • B. KUL
    KUL is the IATA airport code for Kuala Lumpur International Airport, the main international gateway serving Malaysia’s capital region.
  • C. KUL
    KUL is a prominent Catholic university in Lublin, Poland, known for its strong tradition in the humanities, social sciences, and theology.
  • D. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • E. Kür
    Kür is the Azerbaijani name for the Kura River, a major waterway flowing through Turkey, Georgia, and Azerbaijan into the Caspian Sea.
  • 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: KURL
Triple: [Kurla railway station, hasStationCode, KURL]
Generated description
KURL is the station code for Kurla railway station, a major suburban and intercity rail hub in Mumbai, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KURL
Target entity description: KURL is the station code for Kurla railway station, a major suburban and intercity rail hub in Mumbai, India.
  • A. Kur
    Kur is the ancient Mesopotamian underworld, a dark subterranean realm of the dead ruled by the goddess Ereshkigal.
  • B. KUL
    KUL is the IATA airport code for Kuala Lumpur International Airport, the main international gateway serving Malaysia’s capital region.
  • C. KUL
    KUL is a prominent Catholic university in Lublin, Poland, known for its strong tradition in the humanities, social sciences, and theology.
  • D. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • E. Kür
    Kür is the Azerbaijani name for the Kura River, a major waterway flowing through Turkey, Georgia, and Azerbaijan into the Caspian Sea.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a02172c8190978f7951ccd80928 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b1b7248190a1bba4a87db8318b completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3478bfc8190bbcc0afbf6dbb089 completed May 10, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_69fff3d29f50819093a9355d016f48dd completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 5:01 a.m.