Triple

T11321496
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Central E268103 entity
Predicate hasStationCode P1289 FINISHED
Object MMCT
MMCT is the Indian Railways station code for Mumbai Central, a major railway terminus in Mumbai, India.
 E919071 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: MMCT | Statement: [Mumbai Central, hasStationCode, MMCT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MMCT
Context triple: [Mumbai Central, hasStationCode, MMCT]
  • A. MMCC
    MMCC is the ICAO airport code assigned to Piedras Negras International Airport in Coahuila, Mexico.
  • B. OMMCT
    OMMCT is the UN/LOCODE designation for the Port of Muscat in Oman, used in international shipping and logistics.
  • C. MMSM
    MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
  • D. MCC
    MCC is the former name of the Horizon League, an NCAA Division I collegiate athletic conference in the United States.
  • E. MCC
    MCC is a mission control center system that coordinates and oversees spaceflight operations, including facilities such as the Yuzhnoye MCC station.
  • 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: MMCT
Triple: [Mumbai Central, hasStationCode, MMCT]
Generated description
MMCT is the Indian Railways station code for Mumbai Central, a major railway terminus in Mumbai, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MMCT
Target entity description: MMCT is the Indian Railways station code for Mumbai Central, a major railway terminus in Mumbai, India.
  • A. MMCC
    MMCC is the ICAO airport code assigned to Piedras Negras International Airport in Coahuila, Mexico.
  • B. OMMCT
    OMMCT is the UN/LOCODE designation for the Port of Muscat in Oman, used in international shipping and logistics.
  • C. MMSM
    MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
  • D. MCC
    MCC is the former name of the Horizon League, an NCAA Division I collegiate athletic conference in the United States.
  • E. MCC
    MCC is a historic Australian sporting club best known for managing the Melbourne Cricket Ground and playing a central role in the development of cricket.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9dff37081909622623e66e17ccd completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525ed950081908ec94cfbf8849e85 completed April 19, 2026, 6:58 p.m.
NEDg Description generation batch_69e52c82b6108190aec9b6e9d726f803 completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531b079708190ac9e19127d36a848 completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.