Triple
T13887031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INS Kattabomman |
E333872
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Vallioor
Vallioor is a town in the Tirunelveli district of Tamil Nadu, India, known as a regional commercial and transport hub in the southern part of the state.
|
E1067985
|
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: Vallioor | Statement: [INS Kattabomman, near, Vallioor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vallioor Context triple: [INS Kattabomman, near, Vallioor]
-
A.
Veeragase
Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
-
B.
Uzhavoor
Uzhavoor is a small town in the Kottayam district of Kerala, India, best known as the birthplace of former President of India K. R. Narayanan.
-
C.
Virūḷhaka
Virūḷhaka is a Buddhist guardian king (one of the Four Great Kings) associated with the southern direction and the protection of the world.
-
D.
Vaila
Vaila is a small settlement located within Harku Parish in northern Estonia.
-
E.
Vanchi
Vanchi was an ancient South Indian city that served as the political and cultural center of the Chera dynasty.
- 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: Vallioor Triple: [INS Kattabomman, near, Vallioor]
Generated description
Vallioor is a town in the Tirunelveli district of Tamil Nadu, India, known as a regional commercial and transport hub in the southern part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vallioor Target entity description: Vallioor is a town in the Tirunelveli district of Tamil Nadu, India, known as a regional commercial and transport hub in the southern part of the state.
-
A.
Veeragase
Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
-
B.
Uzhavoor
Uzhavoor is a small town in the Kottayam district of Kerala, India, best known as the birthplace of former President of India K. R. Narayanan.
-
C.
Virūḷhaka
Virūḷhaka is a Buddhist guardian king (one of the Four Great Kings) associated with the southern direction and the protection of the world.
-
D.
Vaila
Vaila is a small settlement located within Harku Parish in northern Estonia.
-
E.
Vanchi
Vanchi was an ancient South Indian city that served as the political and cultural center of the Chera dynasty.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a281e481908a6184bcd7f59c03 |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c718140c8190a625da87231ee814 |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c83a3e04819097b6e0b5a3161b9a |
completed | May 3, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c976e96c8190b59f46d9b758e8e2 |
completed | May 3, 2026, 10:17 p.m. |
Created at: April 9, 2026, 10:15 p.m.