Triple

T8262460
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv Stock Exchange E193225 entity
Predicate hasIndex P2915 FINISHED
Object TA-90 Index
The TA-90 Index is a major Israeli stock market index comprising 90 leading companies listed on the Tel Aviv Stock Exchange, excluding those in the flagship TA-35 Index.
 E722204 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: TA-90 Index | Statement: [Tel Aviv Stock Exchange, hasIndex, TA-90 Index]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TA-90 Index
Context triple: [Tel Aviv Stock Exchange, hasIndex, TA-90 Index]
  • A. S&P 90 Index
    The S&P 90 Index was an early U.S. stock market index composed of 90 leading companies, serving as a precursor to the broader S&P 500.
  • B. TAIEX
    TAIEX is the benchmark stock market index that tracks the performance of all listed common shares on the Taiwan Stock Exchange.
  • C. TAI
    TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
  • D. TAI
    TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
  • E. OSEAX Index
    The OSEAX Index is a benchmark stock market index that tracks the performance of all shares listed on the Oslo Stock Exchange.
  • 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: TA-90 Index
Triple: [Tel Aviv Stock Exchange, hasIndex, TA-90 Index]
Generated description
The TA-90 Index is a major Israeli stock market index comprising 90 leading companies listed on the Tel Aviv Stock Exchange, excluding those in the flagship TA-35 Index.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TA-90 Index
Target entity description: The TA-90 Index is a major Israeli stock market index comprising 90 leading companies listed on the Tel Aviv Stock Exchange, excluding those in the flagship TA-35 Index.
  • A. S&P 90 Index
    The S&P 90 Index was an early U.S. stock market index composed of 90 leading companies, serving as a precursor to the broader S&P 500.
  • B. TAIEX
    TAIEX is the benchmark stock market index that tracks the performance of all listed common shares on the Taiwan Stock Exchange.
  • C. TAI
    TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
  • D. TAI
    TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
  • E. OSEAX Index
    The OSEAX Index is a benchmark stock market index that tracks the performance of all shares listed on the Oslo Stock Exchange.
  • 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.