Triple

T19581284
Position Surface form Disambiguated ID Type / Status
Subject Old City Harbour E489990 entity
Predicate hasUNLocode P1492 FINISHED
Object EE TLL NE NERFINISHED

How this triple was built (2 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: EE TLL | Statement: [Old City Harbour, hasUNLocode, EE TLL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EE TLL
Context triple: [Old City Harbour, hasUNLocode, EE TLL]
  • A. TLL chosen
    TLL is the three-letter IATA airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
  • B. TEE
    TEE is the national professional and technical organization representing engineers and overseeing engineering standards and practice in Greece.
  • C. ETE
    ETE is the stock ticker symbol for the National Bank of Greece, one of Greece’s largest and oldest financial institutions.
  • D. TTE
    TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
  • E. EETN
    EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e640281b7c8190be44268a58df058f completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.