Triple
T11783537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newman |
E280210
|
entity |
| Predicate | airportIATAcode |
P418
|
FINISHED |
| Object |
ZNE
ZNE is the IATA airport code for Newman Airport, which serves the mining town of Newman in Western Australia.
|
E946328
|
NE FINISHED |
How this triple was built (4 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: ZNE | Statement: [Newman, airportIATAcode, ZNE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZNE Context triple: [Newman, airportIATAcode, ZNE]
-
A.
ZNA
ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
-
B.
ZEL
ZEL is the National Rail station code assigned to Elephant & Castle station in London.
-
C.
ZP
ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
-
D.
ZUE
ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
-
E.
ZNG
ZNG is the three-letter station code used to identify Notting Hill Gate Underground station on the London Underground network.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ZNE Triple: [Newman, airportIATAcode, ZNE]
Generated description
ZNE is the IATA airport code for Newman Airport, which serves the mining town of Newman in Western Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZNE Target entity description: ZNE is the IATA airport code for Newman Airport, which serves the mining town of Newman in Western Australia.
-
A.
ZNA
ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
-
B.
ZEL
ZEL is the National Rail station code assigned to Elephant & Castle station in London.
-
C.
ZP
ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
-
D.
ZUE
ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
-
E.
ZNG
ZNG is the three-letter station code used to identify Notting Hill Gate Underground station on the London Underground network.
- F. None of above. chosen
Provenance (5 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a58413048190b9e3b9d2f5383ec3 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090d861f481909b920197a3d60e28 |
completed | April 28, 2026, 10:50 a.m. |
| NEDg | Description generation | batch_69f0bd3f39608190b29027b30664bd9c |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef5afd448190953b5d9929478132 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 8, 2026, 9:42 p.m.