Triple
T4313582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYSE Composite Index |
E94134
|
entity |
| Predicate | hasTickerSymbol |
P1447
|
FINISHED |
| Object | NYA |
E94134
|
NE FINISHED |
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: NYA | Statement: [NYSE Composite Index, hasTickerSymbol, NYA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NYA Context triple: [NYSE Composite Index, hasTickerSymbol, NYA]
-
A.
NYA
chosen
NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
-
B.
NYD
NYD is the commonly used abbreviation for Botswana’s Ntlo ya Dikgosi, the national House of Chiefs that advises on constitutional and traditional matters.
-
C.
NYP
NYP is the abbreviation for the New York Philharmonic, one of the oldest and most renowned symphony orchestras in the United States.
-
D.
NYJ
NYJ is the common abbreviation for the New York Jets, a professional American football team based in the New York metropolitan area that competes in the NFL.
-
E.
NY6
NY6 refers to the six premier college football bowl games that form the core of the postseason under the College Football Playoff system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350f319c08190bb40a9fc5933728d |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c75f30f48190ab030d635bd334af |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:12 p.m.