Triple

T8958426
Position Surface form Disambiguated ID Type / Status
Subject San Cristóbal Island E213536 entity
Predicate airportICAO P419 FINISHED
Object SEST
SEST is the ICAO airport code for San Cristóbal Airport, which serves San Cristóbal Island in the Galápagos, Ecuador.
 E769716 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: SEST | Statement: [San Cristóbal Island, airportICAO, SEST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEST
Context triple: [San Cristóbal Island, airportICAO, SEST]
  • A. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • B. SETE
    SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
  • C. SEEL
    SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
  • D. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • E. Tsets
    Tsets is the Constitutional Court of Mongolia, the highest judicial body responsible for interpreting the constitution and overseeing its implementation.
  • 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: SEST
Triple: [San Cristóbal Island, airportICAO, SEST]
Generated description
SEST is the ICAO airport code for San Cristóbal Airport, which serves San Cristóbal Island in the Galápagos, Ecuador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEST
Target entity description: SEST is the ICAO airport code for San Cristóbal Airport, which serves San Cristóbal Island in the Galápagos, Ecuador.
  • A. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • B. SETE
    SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
  • C. SEEL
    SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
  • D. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • E. Tsets
    Tsets is the Constitutional Court of Mongolia, the highest judicial body responsible for interpreting the constitution and overseeing its implementation.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6729ab7c8190a6168f0aa70a5520 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9430a8c819096e0df38c107d1bd completed April 3, 2026, 2:05 p.m.
NEDg Description generation batch_69cfcaabe06481908e4a1a20dc16906e completed April 3, 2026, 2:11 p.m.
NED2 Entity disambiguation (via description) batch_69cfcb5d2be48190847967325f4c8f03 completed April 3, 2026, 2:14 p.m.
Created at: March 30, 2026, 7 p.m.