Triple
T22458948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malappuram district |
E555180
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Pallikkuth
Pallikkuth is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center in the region.
|
E1562874
|
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: Pallikkuth | Statement: [Malappuram district, hasMajorTown, Pallikkuth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pallikkuth Context triple: [Malappuram district, hasMajorTown, Pallikkuth]
-
A.
Vallikunnu
Vallikunnu is a coastal town and gram panchayat in Kerala, India, known for its Arabian Sea shoreline, backwaters, and proximity to Kozhikode.
-
B.
Kalpakanchery
Kalpakanchery is a prominent town in Kerala, India, known as one of the major urban centers within the Malappuram district.
-
C.
Valanchery
Valanchery is a prominent town in the Malappuram district of Kerala, India, known as a local commercial and transportation hub.
-
D.
Mookkannoor
Mookkannoor is a village in Kerala, India, known for its agrarian landscape and proximity to the town of Aluva in Ernakulam district.
-
E.
Mavelikkara
Mavelikkara is a town in the Alappuzha district of Kerala, India, known for its cultural heritage and historical significance.
- 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: Pallikkuth Triple: [Malappuram district, hasMajorTown, Pallikkuth]
Generated description
Pallikkuth is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pallikkuth Target entity description: Pallikkuth is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center in the region.
-
A.
Vallikunnu
Vallikunnu is a coastal town and gram panchayat in Kerala, India, known for its Arabian Sea shoreline, backwaters, and proximity to Kozhikode.
-
B.
Kalpakanchery
Kalpakanchery is a prominent town in Kerala, India, known as one of the major urban centers within the Malappuram district.
-
C.
Valanchery
Valanchery is a prominent town in the Malappuram district of Kerala, India, known as a local commercial and transportation hub.
-
D.
Mookkannoor
Mookkannoor is a village in Kerala, India, known for its agrarian landscape and proximity to the town of Aluva in Ernakulam district.
-
E.
Mavelikkara
Mavelikkara is a town in the Alappuzha district of Kerala, India, known for its cultural heritage and historical significance.
- 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_6a0bc9fd93e881908c7998b5a8118fad |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcb094b60819090c7550dad826fac |
completed | May 19, 2026, 2:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcb7ccc4881909fe70749449c0e6c |
completed | May 19, 2026, 2:31 a.m. |
Created at: April 16, 2026, 8:48 p.m.