Triple

T8262450
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv Stock Exchange E193225 entity
Predicate hasAbbreviation P43 FINISHED
Object TASE
TASE is the primary stock exchange in Israel, serving as the central marketplace for trading securities in Tel Aviv.
 E722200 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: TASE | Statement: [Tel Aviv Stock Exchange, hasAbbreviation, TASE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TASE
Context triple: [Tel Aviv Stock Exchange, hasAbbreviation, TASE]
  • A. TAS
    TAS is the commonly used French acronym for the Court of Arbitration for Sport, an international body that settles sports-related disputes through arbitration.
  • B. TSE
    TSE is the primary stock exchange in Japan and one of the largest securities markets in the world, located in Tokyo.
  • C. TAE
    TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
  • D. TAA
    TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
  • E. TAI
    TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
  • 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: TASE
Triple: [Tel Aviv Stock Exchange, hasAbbreviation, TASE]
Generated description
TASE is the primary stock exchange in Israel, serving as the central marketplace for trading securities in Tel Aviv.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TASE
Target entity description: TASE is the primary stock exchange in Israel, serving as the central marketplace for trading securities in Tel Aviv.
  • A. TAS
    TAS is the commonly used French acronym for the Court of Arbitration for Sport, an international body that settles sports-related disputes through arbitration.
  • B. TSE
    TSE is the primary stock exchange in Japan and one of the largest securities markets in the world, located in Tokyo.
  • C. TAE
    TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
  • D. TAA
    TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
  • E. TAI
    TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7938723081909379cf78a4449b80 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3573cee48190b72bdcdc433db93e completed April 1, 2026, 3:10 p.m.
NEDg Description generation batch_69cd37a7ea30819094b1c140868fab5f completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4f09a7a8819096ae509767ca61ee completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:49 p.m.