Triple
T22458954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malappuram district |
E555180
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Trikkalangode
Trikkalangode is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center for surrounding rural areas.
|
E1537803
|
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: Trikkalangode | Statement: [Malappuram district, hasMajorTown, Trikkalangode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trikkalangode Context triple: [Malappuram district, hasMajorTown, Trikkalangode]
-
A.
Kodad
Kodad is a town in the Suryapet district of Telangana, India, known as a local commercial and transport hub in the region.
-
B.
Kammala
Kammala was a historical figure known primarily as one of the children of Zhenjin, the Crown Prince of the Yuan dynasty and son of Kublai Khan.
-
C.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
D.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
E.
Tenkalai
Tenkalai is a major subsect of the Sri Vaishnava tradition in Hinduism, distinguished by its emphasis on divine grace and specific theological and ritual interpretations.
- 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: Trikkalangode Triple: [Malappuram district, hasMajorTown, Trikkalangode]
Generated description
Trikkalangode 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: Trikkalangode Target entity description: Trikkalangode is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center for surrounding rural areas.
-
A.
Kodad
Kodad is a town in the Suryapet district of Telangana, India, known as a local commercial and transport hub in the region.
-
B.
Kammala
Kammala was a historical figure known primarily as one of the children of Zhenjin, the Crown Prince of the Yuan dynasty and son of Kublai Khan.
-
C.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
D.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
E.
Tenkalai
Tenkalai is a major subsect of the Sri Vaishnava tradition in Hinduism, distinguished by its emphasis on divine grace and specific theological and ritual interpretations.
- 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_6a0b0c8217ac8190af16df3d941446ce |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d1e3ba08190bf963526973cd462 |
completed | May 18, 2026, 12:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0dc247b88190b8c54084c5727941 |
completed | May 18, 2026, 1:01 p.m. |
Created at: April 16, 2026, 8:48 p.m.