Triple

T2632007
Position Surface form Disambiguated ID Type / Status
Subject Los Héroes E59655 entity
Predicate hasStationCode P1289 FINISHED
Object LHE
LHE is the station code for the Los Héroes transit station in Santiago, Chile.
 E284711 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: LHE | Statement: [Los Héroes, hasStationCode, LHE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LHE
Context triple: [Los Héroes, hasStationCode, LHE]
  • A. LEP
    LEP (Large Electron–Positron Collider) was a major circular particle accelerator at CERN used to study electroweak interactions and precisely measure properties of particles like the Z boson.
  • B. LH
    LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
  • C. LH
    The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
  • D. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • E. LDF
    LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
  • 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: LHE
Triple: [Los Héroes, hasStationCode, LHE]
Generated description
LHE is the station code for the Los Héroes transit station in Santiago, Chile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LHE
Target entity description: LHE is the station code for the Los Héroes transit station in Santiago, Chile.
  • A. LEP
    LEP (Large Electron–Positron Collider) was a major circular particle accelerator at CERN used to study electroweak interactions and precisely measure properties of particles like the Z boson.
  • B. LH
    LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
  • C. LH
    The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
  • D. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • E. LDF
    LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c6e540819087c7f92432b27b0f completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a7021081909f81c4ddb48fa00c completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af9172ba248190bbc68a00b43d9b44 completed March 10, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69af92500920819082c651f75a06dd72 completed March 10, 2026, 3:38 a.m.
Created at: March 6, 2026, 9:50 p.m.