Triple
T7173097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winnemucca Municipal Airport |
E167250
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object |
WMC
WMC is the IATA airport code for Winnemucca Municipal Airport, a public airport serving the Winnemucca area in Nevada, United States.
|
E646716
|
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: WMC | Statement: [Winnemucca Municipal Airport, IATACode, WMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WMC Context triple: [Winnemucca Municipal Airport, IATACode, WMC]
-
A.
WMC
WMC is the commonly used abbreviation for the World Methodist Council, a worldwide association of Methodist churches and related denominations.
-
B.
WMC
WMC is the World Muaythai Council, the leading international governing body responsible for regulating and promoting professional Muay Thai worldwide.
-
C.
WRMC
WRMC is an acronym commonly associated with Western Regional Medical Command, a U.S. Army medical organization overseeing healthcare services across the western region.
-
D.
WTM
WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
-
E.
WM
WM was the reporting mark for the Western Maryland Railway, a regional U.S. railroad that later became part of the Chessie System.
- 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: WMC Triple: [Winnemucca Municipal Airport, IATACode, WMC]
Generated description
WMC is the IATA airport code for Winnemucca Municipal Airport, a public airport serving the Winnemucca area in Nevada, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WMC Target entity description: WMC is the IATA airport code for Winnemucca Municipal Airport, a public airport serving the Winnemucca area in Nevada, United States.
-
A.
WMC
WMC is the commonly used abbreviation for the World Methodist Council, a worldwide association of Methodist churches and related denominations.
-
B.
WMC
WMC is the World Muaythai Council, the leading international governing body responsible for regulating and promoting professional Muay Thai worldwide.
-
C.
WRMC
WRMC is an acronym commonly associated with Western Regional Medical Command, a U.S. Army medical organization overseeing healthcare services across the western region.
-
D.
WTM
WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
-
E.
WM
WM was the reporting mark for the Western Maryland Railway, a regional U.S. railroad that later became part of the Chessie System.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e88c5b708190ab81622ea82c2d23 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b921b1e48190b25c1337f6187174 |
completed | March 28, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69c7b9b0867081909be41ffb8b088e16 |
completed | March 28, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba1a770c819085a25eb796312822 |
completed | March 28, 2026, 11:23 a.m. |
Created at: March 27, 2026, 2:48 p.m.