Triple
T19597566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aluva taluk |
E470385
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Chengaloor
Chengaloor is a village located in the Aluva taluk of Ernakulam district in the Indian state of Kerala.
|
E1406538
|
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: Chengaloor | Statement: [Aluva taluk, containsSettlement, Chengaloor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chengaloor Context triple: [Aluva taluk, containsSettlement, Chengaloor]
-
A.
Chengannur
Chengannur is a town in the Alappuzha district of Kerala, India, known as a gateway to the Sabarimala pilgrimage and for its proximity to the Pamba River.
-
B.
Cherthala
Cherthala is a coastal town in the Alappuzha district of Kerala, India, known for its backwaters, coir industry, and proximity to Vembanad Lake.
-
C.
Marthandam
Marthandam is a town in the Kanyakumari district of Tamil Nadu, India, known as a regional commercial hub and administrative center.
-
D.
Koothattukulam
Koothattukulam is a small town in the Indian state of Kerala known for its agrarian surroundings and local trading activities.
-
E.
Shoranur
Shoranur is a town in Kerala, India, known as a key railway junction and cultural center situated along the Bharathapuzha River.
- 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: Chengaloor Triple: [Aluva taluk, containsSettlement, Chengaloor]
Generated description
Chengaloor is a village located in the Aluva taluk of Ernakulam district in the Indian state of Kerala.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chengaloor Target entity description: Chengaloor is a village located in the Aluva taluk of Ernakulam district in the Indian state of Kerala.
-
A.
Chengannur
Chengannur is a town in the Alappuzha district of Kerala, India, known as a gateway to the Sabarimala pilgrimage and for its proximity to the Pamba River.
-
B.
Cherthala
Cherthala is a coastal town in the Alappuzha district of Kerala, India, known for its backwaters, coir industry, and proximity to Vembanad Lake.
-
C.
Marthandam
Marthandam is a town in the Kanyakumari district of Tamil Nadu, India, known as a regional commercial hub and administrative center.
-
D.
Koothattukulam
Koothattukulam is a small town in the Indian state of Kerala known for its agrarian surroundings and local trading activities.
-
E.
Shoranur
Shoranur is a town in Kerala, India, known as a key railway junction and cultural center situated along the Bharathapuzha River.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407c52c081908704d3a4dd6e853b |
completed | April 20, 2026, 3:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e0c9fd48190bcb1f78fe4894d56 |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080eb8c4b48190b60b9ec2b8aed182 |
completed | May 16, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080f2b2a4881909bd514080858301e |
completed | May 16, 2026, 6:31 a.m. |
Created at: April 10, 2026, 1:43 p.m.