Triple

T14106111
Position Surface form Disambiguated ID Type / Status
Subject TFI E339508 entity
Predicate hasReutersTicker P1447 FINISHED
Object TFFP.PA
TFFP.PA is the Reuters ticker symbol for TFI, a company listed on the Euronext Paris stock exchange.
E1081003 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: TFFP.PA | Statement: [TFI, hasReutersTicker, TFFP.PA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TFFP.PA
Context triple: [TFI, hasReutersTicker, TFFP.PA]
  • A. TFFR
    TFFR is the ICAO airport code for Pointe-à-Pitre International Airport, the main international gateway to Guadeloupe in the Caribbean.
  • B. TFFF
    TFFF is the ICAO airport code for Martinique Aimé Césaire International Airport, the main international gateway to the Caribbean island of Martinique.
  • C. TFFJ
    TFFJ is the ICAO airport code for Gustaf III Airport, a short-runway Caribbean airport on the island of Saint Barthélemy known for its challenging approach.
  • D. TFF
    TFF is the Turkish Football Federation, the main governing body responsible for organizing and regulating professional and amateur football in Turkey.
  • E. TFF
    TFF is a renowned annual film festival held in Telluride, Colorado, known for premiering critically acclaimed and award-contending films.
  • 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: TFFP.PA
Triple: [TFI, hasReutersTicker, TFFP.PA]
Generated description
TFFP.PA is the Reuters ticker symbol for TFI, a company listed on the Euronext Paris stock exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TFFP.PA
Target entity description: TFFP.PA is the Reuters ticker symbol for TFI, a company listed on the Euronext Paris stock exchange.
  • A. TFFR
    TFFR is the ICAO airport code for Pointe-à-Pitre International Airport, the main international gateway to Guadeloupe in the Caribbean.
  • B. TFFF
    TFFF is the ICAO airport code for Martinique Aimé Césaire International Airport, the main international gateway to the Caribbean island of Martinique.
  • C. TFFJ
    TFFJ is the ICAO airport code for Gustaf III Airport, a short-runway Caribbean airport on the island of Saint Barthélemy known for its challenging approach.
  • D. TFF
    TFF is the Turkish Football Federation, the main governing body responsible for organizing and regulating professional and amateur football in Turkey.
  • E. TFF
    TFF is a renowned annual film festival held in Telluride, Colorado, known for premiering critically acclaimed and award-contending films.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600ada808190b92d67dc30f13d15 completed April 14, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b48e448190b4fb8cb33e5d97e6 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd288bd5881908f6a442201c5beea completed May 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3ad7be8819094fc71c9f44fb4cb completed May 7, 2026, 6:02 p.m.
Created at: April 9, 2026, 10:22 p.m.