Triple

T12403238
Position Surface form Disambiguated ID Type / Status
Subject Line 4A (Santiago Metro) E296313 entity
Predicate hasAbbreviation P43 FINISHED
Object L4A
L4A is a line of the Santiago Metro in Chile that serves as a branch of Line 4, connecting several communes in the southeastern area of Santiago.
 E981387 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: L4A | Statement: [Line 4A (Santiago Metro), hasAbbreviation, L4A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: L4A
Context triple: [Line 4A (Santiago Metro), hasAbbreviation, L4A]
  • A. LAMDA
    LAMDA is a prestigious London-based drama school renowned for training actors, directors, and other performing arts professionals.
  • B. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • C. LAF
    The Lebanese Armed Forces (LAF) are the military institution of Lebanon, responsible for defending the country’s sovereignty, maintaining internal security, and operating under a delicate sectarian balance.
  • D. LAF
    LAF is the acronym commonly used to refer to the Lithuanian Armed Forces, the military organization responsible for Lithuania’s national defense.
  • E. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • 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: L4A
Triple: [Line 4A (Santiago Metro), hasAbbreviation, L4A]
Generated description
L4A is a line of the Santiago Metro in Chile that serves as a branch of Line 4, connecting several communes in the southeastern area of Santiago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: L4A
Target entity description: L4A is a line of the Santiago Metro in Chile that serves as a branch of Line 4, connecting several communes in the southeastern area of Santiago.
  • A. LAMDA
    LAMDA is a prestigious London-based drama school renowned for training actors, directors, and other performing arts professionals.
  • B. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • C. LAF
    The Lebanese Armed Forces (LAF) are the military institution of Lebanon, responsible for defending the country’s sovereignty, maintaining internal security, and operating under a delicate sectarian balance.
  • D. LAF
    LAF is the acronym commonly used to refer to the Lithuanian Armed Forces, the military organization responsible for Lithuania’s national defense.
  • E. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d477004819095e65ef6f70c69d9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63484c6808190a71d24f8ee3a7e15 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f63675dbb08190b2711d1d58ffea9b completed May 2, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69f6375cc6908190922825013e0b4000 completed May 2, 2026, 5:41 p.m.
Created at: April 8, 2026, 9:55 p.m.