Triple
T10141617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idukki district |
E231596
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Kattappana
Kattappana is a high-range commercial town in Kerala, India, known for its spice plantations and role as a major trading center in the Idukki region.
|
E844367
|
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: Kattappana | Statement: [Idukki district, hasMajorTown, Kattappana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kattappana Context triple: [Idukki district, hasMajorTown, Kattappana]
-
A.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
B.
Kallaṭa
Kallaṭa was an early Kashmiri Shaiva philosopher and disciple of Vasugupta, best known for his influential commentary on the Spanda Karikas that helped systematize the Spanda school of non-dual Shaivism.
-
C.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
D.
Kondhana
Kondhana is the historic hill fortress near Pune, India, later known as Sinhagad, renowned for its strategic importance and role in Maratha history.
-
E.
Kambalda
Kambalda is a mining town in Western Australia known for its significant nickel deposits and location near Lake Lefroy.
- 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: Kattappana Triple: [Idukki district, hasMajorTown, Kattappana]
Generated description
Kattappana is a high-range commercial town in Kerala, India, known for its spice plantations and role as a major trading center in the Idukki region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kattappana Target entity description: Kattappana is a high-range commercial town in Kerala, India, known for its spice plantations and role as a major trading center in the Idukki region.
-
A.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
B.
Kallaṭa
Kallaṭa was an early Kashmiri Shaiva philosopher and disciple of Vasugupta, best known for his influential commentary on the Spanda Karikas that helped systematize the Spanda school of non-dual Shaivism.
-
C.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
D.
Kondhana
Kondhana is the historic hill fortress near Pune, India, later known as Sinhagad, renowned for its strategic importance and role in Maratha history.
-
E.
Kambalda
Kambalda is a mining town in Western Australia known for its significant nickel deposits and location near Lake Lefroy.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2599e0819090184631e481310c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e603d4548190a561e735c603946f |
completed | April 5, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69d2e7d9932c8190b1947df14f373f9c |
completed | April 5, 2026, 10:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e8c425b88190b20f1706fe3343f4 |
completed | April 5, 2026, 10:57 p.m. |
Created at: March 30, 2026, 9:07 p.m.