Triple
T8305679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WCVB-TV |
E194456
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object |
WMTW
WMTW is a television station serving the Portland, Maine market, known primarily as the local ABC network affiliate.
|
E725454
|
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: WMTW | Statement: [WCVB-TV, sisterStation, WMTW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WMTW Context triple: [WCVB-TV, sisterStation, WMTW]
-
A.
WTN
WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
-
B.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
C.
WTW
WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
-
D.
WTVT
WTVT is a Fox-affiliated television station serving the Tampa Bay, Florida market.
-
E.
WPHT
WPHT is a Philadelphia-based AM talk radio station known for its news, talk, and opinion programming.
- 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: WMTW Triple: [WCVB-TV, sisterStation, WMTW]
Generated description
WMTW is a television station serving the Portland, Maine market, known primarily as the local ABC network affiliate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WMTW Target entity description: WMTW is a television station serving the Portland, Maine market, known primarily as the local ABC network affiliate.
-
A.
WTN
WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
-
B.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
C.
WTW
WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
-
D.
WTVT
WTVT is a Fox-affiliated television station serving the Tampa Bay, Florida market.
-
E.
WPHT
WPHT is a Philadelphia-based AM talk radio station known for its news, talk, and opinion programming.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f293db08190912e5e8bb7e940cf |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd9545ffc48190869906b02692b873 |
completed | April 1, 2026, 9:59 p.m. |
| NEDg | Description generation | batch_69cdab5d649c819098a7643d5a0b7827 |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2c2e2248190bf52466abaebfe29 |
completed | April 2, 2026, 12:05 a.m. |
Created at: March 30, 2026, 5:54 p.m.