Triple
T7586144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Churchill Falls Airport |
E179616
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object |
ZUM
ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
|
E675626
|
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: ZUM | Statement: [Churchill Falls Airport, IATA code, ZUM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZUM Context triple: [Churchill Falls Airport, IATA code, ZUM]
-
A.
Züm
Züm is Brampton Transit's bus rapid transit service that provides faster, limited-stop connections across key corridors in Brampton and the surrounding region.
-
B.
ZM
ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
-
C.
ZUT
ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
-
D.
ZUB
ZUB is a Swiss train protection and automatic train control system used to enhance operational safety on the Swiss Federal Railways network.
-
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. 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: ZUM Triple: [Churchill Falls Airport, IATA code, ZUM]
Generated description
ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZUM Target entity description: ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
-
A.
Züm
Züm is Brampton Transit's bus rapid transit service that provides faster, limited-stop connections across key corridors in Brampton and the surrounding region.
-
B.
ZM
ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
-
C.
ZUT
ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
-
D.
ZUB
ZUB is a Swiss train protection and automatic train control system used to enhance operational safety on the Swiss Federal Railways network.
-
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. 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f995c8a8819089817bd679640017 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86186ce4481908e528c57cdd07d2d |
completed | March 28, 2026, 11:17 p.m. |
| NEDg | Description generation | batch_69c86223bfec8190b47f840e39c9a51a |
completed | March 28, 2026, 11:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c862b8f3688190b0abc00458f70d7e |
completed | March 28, 2026, 11:22 p.m. |
Created at: March 27, 2026, 3:52 p.m.