Triple
T21211683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vachanamrut |
E522735
|
entity |
| Predicate | placeOfComposition |
P7607
|
FINISHED |
| Object |
Vartal
Vartal is a town in Gujarat, India, renowned as a major pilgrimage center of the Swaminarayan Sampradaya and the site of an important Swaminarayan temple.
|
E1472507
|
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: Vartal | Statement: [Vachanamrut, placeOfComposition, Vartal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vartal Context triple: [Vachanamrut, placeOfComposition, Vartal]
-
A.
Varteg
Varteg is a small former coal-mining village in the county borough of Torfaen in South Wales.
-
B.
Zeithain
Zeithain is a municipality in the Free State of Saxony in eastern Germany, situated within the broader Leipzig metropolitan region.
-
C.
Vahdat
Vahdat is a city in western Tajikistan, located near the capital Dushanbe and known as an important regional center.
-
D.
Vergt
Vergt is a small commune in southwestern France’s Dordogne department, known for its rural character and location within the Périgord region.
-
E.
Válega
Válega is a civil parish located within the municipality of Ovar in northern Portugal, known for its traditional Portuguese architecture and regional cultural heritage.
- 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: Vartal Triple: [Vachanamrut, placeOfComposition, Vartal]
Generated description
Vartal is a town in Gujarat, India, renowned as a major pilgrimage center of the Swaminarayan Sampradaya and the site of an important Swaminarayan temple.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vartal Target entity description: Vartal is a town in Gujarat, India, renowned as a major pilgrimage center of the Swaminarayan Sampradaya and the site of an important Swaminarayan temple.
-
A.
Varteg
Varteg is a small former coal-mining village in the county borough of Torfaen in South Wales.
-
B.
Zeithain
Zeithain is a municipality in the Free State of Saxony in eastern Germany, situated within the broader Leipzig metropolitan region.
-
C.
Vahdat
Vahdat is a city in western Tajikistan, located near the capital Dushanbe and known as an important regional center.
-
D.
Vergt
Vergt is a small commune in southwestern France’s Dordogne department, known for its rural character and location within the Périgord region.
-
E.
Válega
Válega is a civil parish located within the municipality of Ovar in northern Portugal, known for its traditional Portuguese architecture and regional cultural heritage.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7346eb20c8190aeb3c0cc0a24aaf9 |
completed | April 21, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097ed6e6288190a6c0a10338458117 |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a097ff28ed0819081cea66e9ea5eaa2 |
completed | May 17, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0981477234819093bc90f3578ddccf |
completed | May 17, 2026, 8:50 a.m. |
Created at: April 16, 2026, 3:37 p.m.