Triple

T11613418
Position Surface form Disambiguated ID Type / Status
Subject South Luzon Expressway E275440 entity
Predicate hasAlternateName P39 FINISHED
Object SLEX
SLEX is a major toll expressway in the Philippines that connects Metro Manila to key provinces in the southern part of Luzon.
E935530 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: SLEX | Statement: [South Luzon Expressway, hasAlternateName, SLEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SLEX
Context triple: [South Luzon Expressway, hasAlternateName, SLEX]
  • A. SLX
    SLX is the IATA airport code for the small Salt Cay Airport serving Salt Cay in the Turks and Caicos Islands.
  • B. LEX
    LEX is the abbreviation for the Léman Express, a cross-border commuter rail network serving the Greater Geneva region in Switzerland and France.
  • C. LEX
    LEX is the three-letter IATA airport code for Blue Grass Airport serving Lexington, Kentucky.
  • D. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • E. SEEL
    SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
  • 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: SLEX
Triple: [South Luzon Expressway, hasAlternateName, SLEX]
Generated description
SLEX is a major toll expressway in the Philippines that connects Metro Manila to key provinces in the southern part of Luzon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SLEX
Target entity description: SLEX is a major toll expressway in the Philippines that connects Metro Manila to key provinces in the southern part of Luzon.
  • A. SLX
    SLX is the IATA airport code for the small Salt Cay Airport serving Salt Cay in the Turks and Caicos Islands.
  • B. LEX
    LEX is the abbreviation for the Léman Express, a cross-border commuter rail network serving the Greater Geneva region in Switzerland and France.
  • C. LEX
    LEX is the three-letter IATA airport code for Blue Grass Airport serving Lexington, Kentucky.
  • D. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • E. SEEL
    SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a044a3088190b92f4674c2d0b443 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a84161d88190a3e810d19d6ea8b8 completed April 22, 2026, 10:51 a.m.
NEDg Description generation batch_69e8af972e90819096568e7ec2a34059 completed April 22, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69e8b0aa21e0819090157b11309a84f6 completed April 22, 2026, 11:27 a.m.
Created at: April 8, 2026, 9:38 p.m.