Triple
T19769215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verul Caves |
E474837
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object |
Verul
Verul is a town in Maharashtra, India, best known as the gateway to the historic Ellora (Verul) Caves, a UNESCO World Heritage Site.
|
E1393790
|
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: Verul | Statement: [Verul Caves, nearestTown, Verul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verul Context triple: [Verul Caves, nearestTown, Verul]
-
A.
Valnontey
Valnontey is a small alpine hamlet and valley in Italy’s Aosta Valley, known as a gateway to Gran Paradiso National Park and a popular destination for hiking and ice climbing.
-
B.
Walwen
Walwen is an alternative medieval name for Sir Gawain, one of the most famous Knights of the Round Table in Arthurian legend.
-
C.
Wenvoe
Wenvoe is a village in the Vale of Glamorgan, Wales, known for its rural character and proximity to Cardiff.
-
D.
Wyulda
Wyulda is a genus of Australian marsupials commonly known as scaly-tailed possums, characterized by their prehensile tails and arboreal lifestyle.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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: Verul Triple: [Verul Caves, nearestTown, Verul]
Generated description
Verul is a town in Maharashtra, India, best known as the gateway to the historic Ellora (Verul) Caves, a UNESCO World Heritage Site.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verul Target entity description: Verul is a town in Maharashtra, India, best known as the gateway to the historic Ellora (Verul) Caves, a UNESCO World Heritage Site.
-
A.
Valnontey
Valnontey is a small alpine hamlet and valley in Italy’s Aosta Valley, known as a gateway to Gran Paradiso National Park and a popular destination for hiking and ice climbing.
-
B.
Walwen
Walwen is an alternative medieval name for Sir Gawain, one of the most famous Knights of the Round Table in Arthurian legend.
-
C.
Wenvoe
Wenvoe is a village in the Vale of Glamorgan, Wales, known for its rural character and proximity to Cardiff.
-
D.
Wyulda
Wyulda is a genus of Australian marsupials commonly known as scaly-tailed possums, characterized by their prehensile tails and arboreal lifestyle.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65359bb9881908f48282b63a83f2f |
completed | April 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd726d98819082ec25a5a38d57aa |
completed | May 16, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_6a07be450e608190a008095b0502b2d3 |
completed | May 16, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07bed9c62c819088d8e32f92b3b147 |
completed | May 16, 2026, 12:48 a.m. |
Created at: April 10, 2026, 1:48 p.m.