Triple
T2779736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhukovsky International Airport |
E61662
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | ZIA |
E61662
|
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: ZIA | Statement: [Zhukovsky International Airport, IATA code, ZIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZIA Context triple: [Zhukovsky International Airport, IATA code, ZIA]
-
A.
ZIA
chosen
ZIA is the IATA airport code for Zhukovsky International Airport, a commercial airport serving the Moscow region in Russia.
-
B.
DZA
DZA is the three-letter ISO 3166-1 alpha-3 country code assigned to Algeria.
-
C.
Azim
Azim is the given name of Azim Premji, the Indian business tycoon and philanthropist known for leading Wipro and his extensive charitable work.
-
D.
CZI
CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
-
E.
Daza
The Daza are an ethnic group of the central Sahara, primarily in Chad, known for their nomadic pastoralist lifestyle and close cultural and linguistic ties to the Toubou (Tebu) peoples.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd97e9988190a9065a70b878a675 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc05cf84881908e771471dbda4c8d |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.