Triple
T14918690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teuge Airport |
E371449
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | ZUT |
E371449
|
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: ZUT | Statement: [Teuge Airport, IATACode, ZUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZUT Context triple: [Teuge Airport, IATACode, ZUT]
-
A.
ZUT
chosen
ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
-
B.
ZUB
ZUB is a Swiss train protection and automatic train control system used to enhance operational safety on the Swiss Federal Railways network.
-
C.
ZTU
ZTU is the IATA station code assigned to a specific passenger rail station in Miami, Florida, used for ticketing and travel logistics.
-
D.
ZUM
ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
-
E.
ZUE
ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62f76bc81909ebc8899096cd1a0 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c141088190936f2fd53fee80e4 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:33 a.m.