Triple
T23348242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWRC (Washington, D.C.) |
E591928
|
entity |
| Predicate | formerCallSign |
P4444
|
FINISHED |
| Object |
WTEM
WTEM is a Washington, D.C.-area AM radio station best known as a sports talk outlet and flagship for local professional teams.
|
E1582020
|
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: WTEM | Statement: [WWRC (Washington, D.C.), formerCallSign, WTEM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WTEM Context triple: [WWRC (Washington, D.C.), formerCallSign, WTEM]
-
A.
WEM
WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
-
B.
WTM
WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
-
C.
WTE
WTE is the IATA airport code for Wotje Airport in the Marshall Islands.
-
D.
WTS
WTS is the commonly used abbreviation for the Watch Tower Bible and Tract Society of Pennsylvania, the primary legal and publishing organization associated with Jehovah’s Witnesses.
-
E.
WTS
WTS is a Reformed Christian seminary in Holland, Michigan, known for training pastors and church leaders within the Reformed Church in America and broader evangelical traditions.
- 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: WTEM Triple: [WWRC (Washington, D.C.), formerCallSign, WTEM]
Generated description
WTEM is a Washington, D.C.-area AM radio station best known as a sports talk outlet and flagship for local professional teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WTEM Target entity description: WTEM is a Washington, D.C.-area AM radio station best known as a sports talk outlet and flagship for local professional teams.
-
A.
WEM
WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
-
B.
WTM
WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
-
C.
WTE
WTE is the IATA airport code for Wotje Airport in the Marshall Islands.
-
D.
WTS
WTS is the commonly used abbreviation for the Watch Tower Bible and Tract Society of Pennsylvania, the primary legal and publishing organization associated with Jehovah’s Witnesses.
-
E.
WTS
WTS is a Reformed Christian seminary in Holland, Michigan, known for training pastors and church leaders within the Reformed Church in America and broader evangelical traditions.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983840a481908c503e47ef2158e3 |
completed | April 29, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4cba927481908194b998075d522d |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c52f9ecc48190a8d5ae67566ea6ed |
completed | May 19, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c536bb21481908524a8ffe3084ebb |
completed | May 19, 2026, 12:11 p.m. |
Created at: April 17, 2026, 5:19 p.m.