Triple
T7640218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varendra Research Museum |
E172980
|
entity |
| Predicate | notableCollectionFrom |
P77477
|
FINISHED |
| Object |
Mainamati
Mainamati is an important archaeological site in Bangladesh known for its extensive Buddhist ruins and ancient monasteries dating from the 7th–12th centuries.
|
E677822
|
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: Mainamati | Statement: [Varendra Research Museum, notableCollectionFrom, Mainamati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mainamati Context triple: [Varendra Research Museum, notableCollectionFrom, Mainamati]
-
A.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
-
B.
Benipur
Benipur is a town in the Darbhanga region of the Indian state of Bihar, known as a local center of trade and daily commerce.
-
C.
Rogdai
Rogdai is a fierce warrior antagonist from Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
-
D.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
E.
Tathra
Tathra is a coastal town on the Sapphire Coast of New South Wales, Australia, known for its historic wharf, scenic beaches, and fishing.
- 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: Mainamati Triple: [Varendra Research Museum, notableCollectionFrom, Mainamati]
Generated description
Mainamati is an important archaeological site in Bangladesh known for its extensive Buddhist ruins and ancient monasteries dating from the 7th–12th centuries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mainamati Target entity description: Mainamati is an important archaeological site in Bangladesh known for its extensive Buddhist ruins and ancient monasteries dating from the 7th–12th centuries.
-
A.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
-
B.
Benipur
Benipur is a town in the Darbhanga region of the Indian state of Bihar, known as a local center of trade and daily commerce.
-
C.
Rogdai
Rogdai is a fierce warrior antagonist from Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
-
D.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
E.
Tathra
Tathra is a coastal town on the Sapphire Coast of New South Wales, Australia, known for its historic wharf, scenic beaches, and fishing.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c701731a288190b53ffc546a2f47d7 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870cd11648190b9aeedadb7bc1981 |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c872a531e08190b7488f576dcd7de4 |
completed | March 29, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c873846a188190a3a1cc56ac247fb0 |
completed | March 29, 2026, 12:34 a.m. |
Created at: March 27, 2026, 3:57 p.m.