Triple
T10319064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nursultan Nazarbayev International Airport |
E242093
|
entity |
| Predicate | formerIATAcode |
P58542
|
FINISHED |
| Object | TSE |
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 | Statement: [Nursultan Nazarbayev International Airport, formerIATAcode, TSE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TSE Context triple: [Nursultan Nazarbayev International Airport, formerIATAcode, TSE]
-
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.
TASE
TASE is the primary stock exchange in Israel, serving as the central marketplace for trading securities in Tel Aviv.
-
C.
TAMSE
TAMSE is an Argentine state-owned defense manufacturer best known for producing the TAM family of medium tanks and other armored vehicles.
-
D.
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.
-
E.
TTE
TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6ca62b48190844b4cbf55d53a43 |
completed | April 7, 2026, 10:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d94aba48190aa40201d46f7ba2f |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:49 a.m.