Triple
T8020824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Section |
E186735
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | TSE First Section |
E186733
|
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: TSE First Section | Statement: [First Section, abbreviation, TSE First Section]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TSE First Section Context triple: [First Section, abbreviation, TSE First Section]
-
A.
TSE
chosen
TSE is the primary stock exchange in Japan and one of the largest securities markets in the world, located in Tokyo.
-
B.
K.T.S.E.
K.T.S.E. is Teyana Taylor’s critically acclaimed 2018 R&B album known for its soulful production and emotionally candid songwriting.
-
C.
SCSE
SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
-
D.
^GSPTSE
^GSPTSE is the ticker symbol for the S&P/TSX Composite Index, the primary benchmark stock market index for the Toronto Stock Exchange in Canada.
-
E.
41 TES
41 TES is a Royal Air Force test and evaluation squadron responsible for assessing and developing aircraft, weapons, and tactics.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8d90488190b57d1e748e272061 |
completed | March 31, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56c82824819082e93eddc40bfad1 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:20 p.m.