Triple
T15247246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumakuru district |
E364414
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Tiptur
Tiptur is a town in the Indian state of Karnataka known for its coconut plantations and trade.
|
E1154461
|
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: Tiptur | Statement: [Tumakuru district, hasTown, Tiptur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiptur Context triple: [Tumakuru district, hasTown, Tiptur]
-
A.
Tumakuru
Tumakuru is a major city in the Indian state of Karnataka, known as an important industrial, educational, and commercial center in the region.
-
B.
Bellary
Bellary is a historic city in the Indian state of Karnataka, known for its rich mineral resources, especially iron ore, and its role as an important administrative and commercial center.
-
C.
Chennur
Chennur is a town in the Mancherial district of Telangana, India, known for its location along the Godavari River and its role as a local commercial and administrative center.
-
D.
Krishnarajpet
Krishnarajpet is a town in the Indian state of Karnataka known for its agricultural surroundings and role as a local commercial and administrative center.
-
E.
Sindhanur
Sindhanur is a town in Karnataka, India, known primarily for its extensive paddy cultivation and role as a major rice-producing center.
- 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: Tiptur Triple: [Tumakuru district, hasTown, Tiptur]
Generated description
Tiptur is a town in the Indian state of Karnataka known for its coconut plantations and trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiptur Target entity description: Tiptur is a town in the Indian state of Karnataka known for its coconut plantations and trade.
-
A.
Tumakuru
Tumakuru is a major city in the Indian state of Karnataka, known as an important industrial, educational, and commercial center in the region.
-
B.
Bellary
Bellary is a historic city in the Indian state of Karnataka, known for its rich mineral resources, especially iron ore, and its role as an important administrative and commercial center.
-
C.
Chennur
Chennur is a town in the Mancherial district of Telangana, India, known for its location along the Godavari River and its role as a local commercial and administrative center.
-
D.
Krishnarajpet
Krishnarajpet is a town in the Indian state of Karnataka known for its agricultural surroundings and role as a local commercial and administrative center.
-
E.
Sindhanur
Sindhanur is a town in Karnataka, India, known primarily for its extensive paddy cultivation and role as a major rice-producing center.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133b333c81908e38e9681bf81e40 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff142e99e081909d01cac0416f1bde |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14c61eb08190ba854b541eb1ce14 |
completed | May 9, 2026, 11:04 a.m. |
Created at: April 10, 2026, 3:13 a.m.