Triple
T22458970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malappuram district |
E555180
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Pattikkad
Pattikkad is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center in the region.
|
E1537814
|
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: Pattikkad | Statement: [Malappuram district, hasMajorTown, Pattikkad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pattikkad Context triple: [Malappuram district, hasMajorTown, Pattikkad]
-
A.
Kanjoor
Kanjoor is a village in the Ernakulam district of Kerala, India, known for its historic churches and scenic riverside setting.
-
B.
Kakkanad
Kakkanad is a rapidly developing suburban region of Kochi in Kerala, India, known as an administrative hub and major IT and industrial center.
-
C.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
D.
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.
-
E.
Kayadhu
Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
- 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: Pattikkad Triple: [Malappuram district, hasMajorTown, Pattikkad]
Generated description
Pattikkad 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: Pattikkad Target entity description: Pattikkad is a town in the Malappuram district of Kerala, India, known as a local commercial and residential center in the region.
-
A.
Kanjoor
Kanjoor is a village in the Ernakulam district of Kerala, India, known for its historic churches and scenic riverside setting.
-
B.
Kakkanad
Kakkanad is a rapidly developing suburban region of Kochi in Kerala, India, known as an administrative hub and major IT and industrial center.
-
C.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
D.
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.
-
E.
Kayadhu
Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
- 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.