Triple

T19581460
Position Surface form Disambiguated ID Type / Status
Subject Tallinna Sadam E489995 entity
Predicate tickerSymbol P1447 FINISHED
Object TSM1T
TSM1T is the stock ticker symbol for Port of Tallinn, the Estonian state-owned port operator listed on the Nasdaq Tallinn exchange.
 E1385285 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: TSM1T | Statement: [Tallinna Sadam, tickerSymbol, TSM1T]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TSM1T
Context triple: [Tallinna Sadam, tickerSymbol, TSM1T]
  • A. TMC-1
    TMC-1 is a dense, cold molecular cloud core in the Taurus region renowned for its rich and complex interstellar chemistry.
  • B. TMO
    TMO is the stock ticker symbol for Thermo Fisher Scientific, a leading global provider of scientific instruments, reagents, and laboratory services.
  • C. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • D. TVSM
    TVSM is the ICAO airport code assigned to Mustique Airport, a small regional airfield serving the private island of Mustique in Saint Vincent and the Grenadines.
  • E. T1
    T1 is one of the tram routes of the Trambaix light rail network serving the Barcelona metropolitan area.
  • 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: TSM1T
Triple: [Tallinna Sadam, tickerSymbol, TSM1T]
Generated description
TSM1T is the stock ticker symbol for Port of Tallinn, the Estonian state-owned port operator listed on the Nasdaq Tallinn exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TSM1T
Target entity description: TSM1T is the stock ticker symbol for Port of Tallinn, the Estonian state-owned port operator listed on the Nasdaq Tallinn exchange.
  • A. TMC-1
    TMC-1 is a dense, cold molecular cloud core in the Taurus region renowned for its rich and complex interstellar chemistry.
  • B. TMO
    TMO is the stock ticker symbol for Thermo Fisher Scientific, a leading global provider of scientific instruments, reagents, and laboratory services.
  • C. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • D. TVSM
    TVSM is the ICAO airport code assigned to Mustique Airport, a small regional airfield serving the private island of Mustique in Saint Vincent and the Grenadines.
  • E. T1
    T1 is one of the tram routes of the Trambaix light rail network serving the Barcelona metropolitan area.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e640281b7c8190be44268a58df058f completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f0d5f608190b28b877fd8c1dfb6 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a0760f5a32c81908a0b405a72f859f1 completed May 15, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0761c8b3008190bbc7a29412b49045 completed May 15, 2026, 6:11 p.m.
Created at: April 10, 2026, 1:42 p.m.