Triple
T4821365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Västergötland |
E107715
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Lidan
Lidan is a river in southwestern Sweden that flows through the historical province of Västergötland before emptying into Lake Vänern.
|
E472580
|
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: Lidan | Statement: [Västergötland, hasRiver, Lidan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lidan Context triple: [Västergötland, hasRiver, Lidan]
-
A.
Lida
Lida is a historic city in present-day western Belarus, known for its medieval castle and former role as a regional center in the Grand Duchy of Lithuania.
-
B.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
C.
Dijlah
Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
-
D.
Idanell
Idanell is the birth name of Nellie Connally, the former First Lady of Texas and widow of Governor John Connally, who was riding in the car with President John F. Kennedy during his assassination.
-
E.
Lapseki
Lapseki is a town and district in Çanakkale Province in northwestern Turkey, situated on the Asian shore of the Dardanelles Strait.
- 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: Lidan Triple: [Västergötland, hasRiver, Lidan]
Generated description
Lidan is a river in southwestern Sweden that flows through the historical province of Västergötland before emptying into Lake Vänern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lidan Target entity description: Lidan is a river in southwestern Sweden that flows through the historical province of Västergötland before emptying into Lake Vänern.
-
A.
Lida
Lida is a historic city in present-day western Belarus, known for its medieval castle and former role as a regional center in the Grand Duchy of Lithuania.
-
B.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
C.
Dijlah
Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
-
D.
Idanell
Idanell is the birth name of Nellie Connally, the former First Lady of Texas and widow of Governor John Connally, who was riding in the car with President John F. Kennedy during his assassination.
-
E.
Lapseki
Lapseki is a town and district in Çanakkale Province in northwestern Turkey, situated on the Asian shore of the Dardanelles Strait.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c99b46c8190b6fbcf9f98b9e993 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dc3cf5c8190bcd6ef039bab9878 |
completed | March 21, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69be4e8385e08190a46b1e129234c884 |
completed | March 21, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4f27f5a48190b639c9212e46f21d |
completed | March 21, 2026, 7:56 a.m. |
Created at: March 20, 2026, 1:24 p.m.