Triple
T3149640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fox Television Stations |
E65844
|
entity |
| Predicate | ownsStation |
P19286
|
FINISHED |
| Object |
WDCA
WDCA is a Washington, D.C.-based television station that serves as a MyNetworkTV affiliate owned by Fox Television Stations.
|
E331294
|
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: WDCA | Statement: [Fox Television Stations, ownsStation, WDCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WDCA Context triple: [Fox Television Stations, ownsStation, WDCA]
-
A.
WTDC
WTDC is a major international conference organized by the International Telecommunication Union that focuses on policies and strategies for global telecommunication and ICT development, particularly in developing countries.
-
B.
WECA
WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
-
C.
DWC
DWC is the IATA airport code for Al Maktoum International Airport, a major airport in Dubai, United Arab Emirates.
-
D.
WJA
WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
-
E.
DWA
DWA is the commonly used abbreviation for the International Labour Organization’s Decent Work Agenda, a global framework promoting fair, secure, and dignified employment.
- 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: WDCA Triple: [Fox Television Stations, ownsStation, WDCA]
Generated description
WDCA is a Washington, D.C.-based television station that serves as a MyNetworkTV affiliate owned by Fox Television Stations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WDCA Target entity description: WDCA is a Washington, D.C.-based television station that serves as a MyNetworkTV affiliate owned by Fox Television Stations.
-
A.
WTDC
WTDC is a major international conference organized by the International Telecommunication Union that focuses on policies and strategies for global telecommunication and ICT development, particularly in developing countries.
-
B.
WECA
WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
-
C.
DWC
DWC is the IATA airport code for Al Maktoum International Airport, a major airport in Dubai, United Arab Emirates.
-
D.
WJA
WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
-
E.
DWA
DWA is the commonly used abbreviation for the International Labour Organization’s Decent Work Agenda, a global framework promoting fair, secure, and dignified employment.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5bf902c8190a490fa55e2dcecc0 |
completed | March 8, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f94f3881909a277c45c9add0f5 |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b225b27e1c8190a3df0d4692ee66c6 |
completed | March 12, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b226339e4881908690f7ea7a7bd50c |
completed | March 12, 2026, 2:34 a.m. |
Created at: March 8, 2026, 3:05 p.m.