Triple
T22458945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malappuram district |
E555180
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Muthuvallur
Muthuvallur is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center for surrounding rural areas.
|
E1559736
|
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: Muthuvallur | Statement: [Malappuram district, hasMajorTown, Muthuvallur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muthuvallur Context triple: [Malappuram district, hasMajorTown, Muthuvallur]
-
A.
Manachanallur
Manachanallur is a town in the Indian state of Tamil Nadu, known for its rice mills and agricultural economy.
-
B.
Kumaranallur
Kumaranallur is a village in the Kottayam district of Kerala, India, known for its historic Bhagavathy temple and cultural heritage.
-
C.
Pudukkottai
Pudukkottai is a historic town and administrative center in Tamil Nadu, India, known for its temples, palaces, and archaeological sites.
-
D.
Alanganallur
Alanganallur is a town in Tamil Nadu, India, renowned for hosting one of the most famous and traditional Jallikattu bull-taming festivals.
-
E.
Ariyalur
Ariyalur is a town in Tamil Nadu, India, known for its rich limestone deposits, cement industries, and significant archaeological and fossil findings.
- 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: Muthuvallur Triple: [Malappuram district, hasMajorTown, Muthuvallur]
Generated description
Muthuvallur is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center for surrounding rural areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Muthuvallur Target entity description: Muthuvallur is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center for surrounding rural areas.
-
A.
Manachanallur
Manachanallur is a town in the Indian state of Tamil Nadu, known for its rice mills and agricultural economy.
-
B.
Kumaranallur
Kumaranallur is a village in the Kottayam district of Kerala, India, known for its historic Bhagavathy temple and cultural heritage.
-
C.
Pudukkottai
Pudukkottai is a historic town and administrative center in Tamil Nadu, India, known for its temples, palaces, and archaeological sites.
-
D.
Alanganallur
Alanganallur is a town in Tamil Nadu, India, renowned for hosting one of the most famous and traditional Jallikattu bull-taming festivals.
-
E.
Ariyalur
Ariyalur is a town in Tamil Nadu, India, known for its rich limestone deposits, cement industries, and significant archaeological and fossil findings.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7e01fc8190825c3dc024484440 |
completed | April 29, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9a644ac81908759165afee762d1 |
completed | May 19, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_6a0bbb59ff98819081ccb651f6a1d154 |
completed | May 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbc1bd0808190a0a5f8f603308b45 |
completed | May 19, 2026, 1:25 a.m. |
Created at: April 16, 2026, 8:48 p.m.