Triple
T8240353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezeiza |
E192518
|
entity |
| Predicate | airportIATA |
P418
|
FINISHED |
| Object | EZE |
E189226
|
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: EZE | Statement: [Ezeiza, airportIATA, EZE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EZE Context triple: [Ezeiza, airportIATA, EZE]
-
A.
EZE
chosen
EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
-
B.
Ezel
Ezel is the former German name for the Estonian island now known as Saaremaa, located in the Baltic Sea.
-
C.
ZUE
ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
-
D.
Enz
The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
-
E.
EZY
EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783e13648190abf34eb8c244ea17 |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd350f57d48190ae2f24d136bb3eee |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:47 p.m.