Triple
T15648224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banaskantha district |
E376236
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Vav
Vav is a town located in the Banaskantha district of the Indian state of Gujarat.
|
E1169433
|
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: Vav | Statement: [Banaskantha district, hasTown, Vav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vav Context triple: [Banaskantha district, hasTown, Vav]
-
A.
Sloup
Sloup is a small village in the Czech Republic known as a gateway to the Moravian Karst cave region and its popular karst formations.
-
B.
Vigla
Vigla is a notable summit of Mount Pangaion in northern Greece, known for its mountainous terrain and scenic views.
-
C.
Viga
Viga is a coastal agricultural municipality on the island province of Catanduanes in the Bicol Region of the Philippines.
-
D.
Pyramida
Pyramida is the summit that forms the highest peak of Mount Giona in central Greece.
-
E.
Vanakbara
Vanakbara is a coastal village and fishing port located in the Diu district of the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
- 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: Vav Triple: [Banaskantha district, hasTown, Vav]
Generated description
Vav is a town located in the Banaskantha district of the Indian state of Gujarat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vav Target entity description: Vav is a town located in the Banaskantha district of the Indian state of Gujarat.
-
A.
Sloup
Sloup is a small village in the Czech Republic known as a gateway to the Moravian Karst cave region and its popular karst formations.
-
B.
Vigla
Vigla is a notable summit of Mount Pangaion in northern Greece, known for its mountainous terrain and scenic views.
-
C.
Viga
Viga is a coastal agricultural municipality on the island province of Catanduanes in the Bicol Region of the Philippines.
-
D.
Pyramida
Pyramida is the summit that forms the highest peak of Mount Giona in central Greece.
-
E.
Vanakbara
Vanakbara is a coastal village and fishing port located in the Diu district of the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed7212c8190be6ff76afa25f7ca |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67936e388190913c9060194e5b53 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff6883b5048190b64e4361bc89dd80 |
completed | May 9, 2026, 5:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6911a76c819088c8a86d2106b6c6 |
completed | May 9, 2026, 5:04 p.m. |
Created at: April 10, 2026, 4:15 a.m.