Triple
T22458920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malappuram district |
E555180
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Parappanangadi
Parappanangadi is a coastal town in the Indian state of Kerala, known for its Arabian Sea shoreline, historic trade links, and role as a local commercial and transport hub.
|
E1548892
|
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: Parappanangadi | Statement: [Malappuram district, hasMajorTown, Parappanangadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parappanangadi Context triple: [Malappuram district, hasMajorTown, Parappanangadi]
-
A.
Parakkadavu
Parakkadavu is a village in the Ernakulam district of Kerala, India, known for its rural setting and proximity to the town of Aluva.
-
B.
Mookkannoor
Mookkannoor is a village in Kerala, India, known for its agrarian landscape and proximity to the town of Aluva in Ernakulam district.
-
C.
Ottapalam
Ottapalam is a town in the Palakkad district of Kerala, India, known for its scenic riverine landscape, cultural heritage, and role as a filming location for Malayalam cinema.
-
D.
Paramakudi
Paramakudi is a town in the Indian state of Tamil Nadu known as a regional commercial and transportation hub.
-
E.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
- 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: Parappanangadi Triple: [Malappuram district, hasMajorTown, Parappanangadi]
Generated description
Parappanangadi is a coastal town in the Indian state of Kerala, known for its Arabian Sea shoreline, historic trade links, and role as a local commercial and transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parappanangadi Target entity description: Parappanangadi is a coastal town in the Indian state of Kerala, known for its Arabian Sea shoreline, historic trade links, and role as a local commercial and transport hub.
-
A.
Parakkadavu
Parakkadavu is a village in the Ernakulam district of Kerala, India, known for its rural setting and proximity to the town of Aluva.
-
B.
Mookkannoor
Mookkannoor is a village in Kerala, India, known for its agrarian landscape and proximity to the town of Aluva in Ernakulam district.
-
C.
Ottapalam
Ottapalam is a town in the Palakkad district of Kerala, India, known for its scenic riverine landscape, cultural heritage, and role as a filming location for Malayalam cinema.
-
D.
Paramakudi
Paramakudi is a town in the Indian state of Tamil Nadu known as a regional commercial and transportation hub.
-
E.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
- 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_6a0b73d2d3b08190bc85181135ddc5db |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b75ee79988190bbe911f6129f682b |
completed | May 18, 2026, 8:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b76656b1481909ff823a310c95fda |
completed | May 18, 2026, 8:28 p.m. |
Created at: April 16, 2026, 8:48 p.m.