Triple
T11201915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tailapa II |
E265060
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Bhavanaga
Bhavanaga was a queen consort associated with the Western Chalukya ruler Tailapa II in medieval India.
|
E911726
|
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: Bhavanaga | Statement: [Tailapa II, spouse, Bhavanaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhavanaga Context triple: [Tailapa II, spouse, Bhavanaga]
-
A.
Gangathura
Gangathura is the given first name of Dr. G. M. Naicker, a notable South African anti-apartheid activist and medical doctor.
-
B.
Hattiangadi
Hattiangadi is a village in the Kundapura region of Karnataka, India, known for its historic temples and coastal cultural heritage.
-
C.
Banavasi
Banavasi is an ancient town in Karnataka, India, historically significant as an early capital of the Kadamba dynasty and a major center of early Kannada culture and inscriptions.
-
D.
Avaniapuram
Avaniapuram is a locality in Madurai, Tamil Nadu, known for hosting traditional cultural events and rural sports.
-
E.
Nandigrama
Nandigrama is the kingdom or region traditionally associated with and ruled by the legendary Indian emperor Bharata in ancient Hindu literature.
- 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: Bhavanaga Triple: [Tailapa II, spouse, Bhavanaga]
Generated description
Bhavanaga was a queen consort associated with the Western Chalukya ruler Tailapa II in medieval India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bhavanaga Target entity description: Bhavanaga was a queen consort associated with the Western Chalukya ruler Tailapa II in medieval India.
-
A.
Gangathura
Gangathura is the given first name of Dr. G. M. Naicker, a notable South African anti-apartheid activist and medical doctor.
-
B.
Hattiangadi
Hattiangadi is a village in the Kundapura region of Karnataka, India, known for its historic temples and coastal cultural heritage.
-
C.
Banavasi
Banavasi is an ancient town in Karnataka, India, historically significant as an early capital of the Kadamba dynasty and a major center of early Kannada culture and inscriptions.
-
D.
Avaniapuram
Avaniapuram is a locality in Madurai, Tamil Nadu, known for hosting traditional cultural events and rural sports.
-
E.
Nandigrama
Nandigrama is the kingdom or region traditionally associated with and ruled by the legendary Indian emperor Bharata in ancient Hindu literature.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c36c188190bfa4d5f8e6cbbbea |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4971d537c8190ab53a2ca18d643f3 |
completed | April 19, 2026, 8:49 a.m. |
| NEDg | Description generation | batch_69e49c09844881908e0d95ba3f239024 |
completed | April 19, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49e7f8b108190bb69f532adf25809 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 8, 2026, 9:29 p.m.