Triple
T22458958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malappuram district |
E555180
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Vettathur
Vettathur is a town in the Malappuram district of Kerala, India, known for its rural setting and local trading activities.
|
E1566096
|
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: Vettathur | Statement: [Malappuram district, hasMajorTown, Vettathur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vettathur Context triple: [Malappuram district, hasMajorTown, Vettathur]
-
A.
Thottiyam
Thottiyam is a town and administrative region in the Indian state of Tamil Nadu, known for its agricultural surroundings and local temples.
-
B.
Othukkungal
Othukkungal is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center in the region.
-
C.
Melattur
Melattur is a town in the Malappuram district of Kerala, India, known for its role as a local commercial and transport hub in the region.
-
D.
Valanchery
Valanchery is a prominent town in the Malappuram district of Kerala, India, known as a local commercial and transportation hub.
-
E.
Eravur
Eravur is a town in Sri Lanka’s Eastern Province, known for its coastal setting, diverse communities, and proximity to the regional hub of Batticaloa.
- 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: Vettathur Triple: [Malappuram district, hasMajorTown, Vettathur]
Generated description
Vettathur is a town in the Malappuram district of Kerala, India, known for its rural setting and local trading activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vettathur Target entity description: Vettathur is a town in the Malappuram district of Kerala, India, known for its rural setting and local trading activities.
-
A.
Thottiyam
Thottiyam is a town and administrative region in the Indian state of Tamil Nadu, known for its agricultural surroundings and local temples.
-
B.
Othukkungal
Othukkungal is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center in the region.
-
C.
Melattur
Melattur is a town in the Malappuram district of Kerala, India, known for its role as a local commercial and transport hub in the region.
-
D.
Valanchery
Valanchery is a prominent town in the Malappuram district of Kerala, India, known as a local commercial and transportation hub.
-
E.
Eravur
Eravur is a town in Sri Lanka’s Eastern Province, known for its coastal setting, diverse communities, and proximity to the regional hub of Batticaloa.
- 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_6a0bf28c6374819099ff8ca38085d7d3 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bf7935b088190b0b8098ee877302f |
completed | May 19, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bf7f426b88190b3b6897b116b7809 |
completed | May 19, 2026, 5:41 a.m. |
Created at: April 16, 2026, 8:48 p.m.