Triple
T3909223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Sea drainage basin |
E87280
|
entity |
| Predicate | majorRiver |
P165
|
FINISHED |
| Object |
Tay
The Tay is the longest river in Scotland, flowing through Perth and Dundee before emptying into the North Sea.
|
E397360
|
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: Tay | Statement: [North Sea drainage basin, majorRiver, Tay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tay Context triple: [North Sea drainage basin, majorRiver, Tay]
-
A.
Tayk
Tayk was an ancient historical region in the southwestern Caucasus, associated with Armenian and later Georgian polities and known for its strategic location and mountainous terrain.
-
B.
Tayasan
Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
-
C.
Tad
Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
-
D.
Tyler
Tyler is a character in the 2015 horror-thriller film "The Visit," serving as one of the two grandchildren whose unsettling stay with their grandparents drives the movie’s plot.
-
E.
Tyler
Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
- 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: Tay Triple: [North Sea drainage basin, majorRiver, Tay]
Generated description
The Tay is the longest river in Scotland, flowing through Perth and Dundee before emptying into the North Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tay Target entity description: The Tay is the longest river in Scotland, flowing through Perth and Dundee before emptying into the North Sea.
-
A.
Tayk
Tayk was an ancient historical region in the southwestern Caucasus, associated with Armenian and later Georgian polities and known for its strategic location and mountainous terrain.
-
B.
Tayasan
Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
-
C.
Tad
Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
-
D.
Tyler
Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
-
E.
Tyler
Tyler is a surname most prominently associated with American actress Liv Tyler and various other notable figures in entertainment and public life.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed14d6d08190b74757eb9288fe4d |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51cb1b194819093b88d3f37ae51d9 |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b51d8510c08190a88a1a8f044b3c59 |
completed | March 14, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51e0e9df08190959bc5cb7084d8a5 |
completed | March 14, 2026, 8:36 a.m. |
Created at: March 9, 2026, 3:22 p.m.