Triple

T11836317
Position Surface form Disambiguated ID Type / Status
Subject Ramon Airport E281524 entity
Predicate IATAcode P418 FINISHED
Object ETM
ETM is the IATA airport code for Ramon Airport, an international airport serving the Eilat region in southern Israel.
 E950350 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: ETM | Statement: [Ramon Airport, IATAcode, ETM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ETM
Context triple: [Ramon Airport, IATAcode, ETM]
  • A. ETB
    ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
  • B. ETAC
    ETAC is the Engineering Technology Accreditation Commission of ABET, responsible for accrediting engineering technology degree programs worldwide.
  • C. ETI
    ETI is the station code for Estación Etiopía, a metro station in Mexico City’s rapid transit system.
  • D. EETN
    EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
  • E. EGTE
    EGTE is the ICAO airport code for Exeter Airport, a regional airport serving Exeter and the surrounding area in Devon, England.
  • 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: ETM
Triple: [Ramon Airport, IATAcode, ETM]
Generated description
ETM is the IATA airport code for Ramon Airport, an international airport serving the Eilat region in southern Israel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ETM
Target entity description: ETM is the IATA airport code for Ramon Airport, an international airport serving the Eilat region in southern Israel.
  • A. ETB
    ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
  • B. ETAC
    ETAC is the Engineering Technology Accreditation Commission of ABET, responsible for accrediting engineering technology degree programs worldwide.
  • C. ETI
    ETI is the station code for Estación Etiopía, a metro station in Mexico City’s rapid transit system.
  • D. EETN
    EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
  • E. EGTE
    EGTE is the ICAO airport code for Exeter Airport, a regional airport serving Exeter and the surrounding area in Devon, England.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62fec0881908c7b89c0b5bcc9a2 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16765aac481908b4cb474b141d842 completed April 29, 2026, 2:05 a.m.
NEDg Description generation batch_69f17004fb908190a486c6718c5252cb completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f1db11f0f48190832ca4f552f21751 completed April 29, 2026, 10:18 a.m.
Created at: April 8, 2026, 9:43 p.m.