Triple

T10531667
Position Surface form Disambiguated ID Type / Status
Subject Metro Chilpancingo E248455 entity
Predicate hasStationCode P1289 FINISHED
Object CHL
CHL is the station code for the Chilpancingo station on the Mexico City Metro system.
 E869731 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: CHL | Statement: [Metro Chilpancingo, hasStationCode, CHL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CHL
Context triple: [Metro Chilpancingo, hasStationCode, CHL]
  • A. CHL
    CHL refers to the Central Hockey League, a former North American minor professional ice hockey league that operated primarily in the central United States.
  • B. CHL
    CHL is the abbreviation for the modern pan-European ice hockey club competition known as the Champions Hockey League, established in 2014.
  • C. CCHL
    CCHL is a Canadian junior ice hockey league in which the Cornwall Colts compete.
  • D. UKHL
    UKHL refers to the United Kingdom House of Lords in its former capacity as the highest appellate court in the UK before the creation of the Supreme Court.
  • E. WHL
    WHL is the National Rail station code for White Hart Lane railway station in North London, serving the area around Tottenham Hotspur Stadium.
  • 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: CHL
Triple: [Metro Chilpancingo, hasStationCode, CHL]
Generated description
CHL is the station code for the Chilpancingo station on the Mexico City Metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CHL
Target entity description: CHL is the station code for the Chilpancingo station on the Mexico City Metro system.
  • A. CHL
    CHL is the abbreviation for the modern pan-European ice hockey club competition known as the Champions Hockey League, established in 2014.
  • B. CHL
    CHL refers to the Central Hockey League, a former North American minor professional ice hockey league that operated primarily in the central United States.
  • C. CCHL
    CCHL is a Canadian junior ice hockey league in which the Cornwall Colts compete.
  • D. UKHL
    UKHL refers to the United Kingdom House of Lords in its former capacity as the highest appellate court in the UK before the creation of the Supreme Court.
  • E. WHL
    WHL is the National Rail station code for White Hart Lane railway station in North London, serving the area around Tottenham Hotspur Stadium.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a17f23081909f3372e160e21670 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e471e9c8190b134249073b289bd completed April 10, 2026, 2:50 p.m.
NEDg Description generation batch_69d9107f488481908845aef0fdf6d60d completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911790010819093fc50952502fd59 completed April 10, 2026, 3:04 p.m.
Created at: April 6, 2026, 12:30 p.m.