Triple

T31087545
Position Surface form Disambiguated ID Type / Status
Subject Meenachil River E792285 entity
Predicate hasTributary P415 FINISHED
Object Kozha River
Kozha River is a minor river in the Kottayam region of Kerala, India, known primarily as a tributary of the Meenachil River.
 E2289706 NE FINISHED

How this triple was built (2 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: Kozha River | Statement: [Meenachil River, hasTributary, Kozha River]
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: Kozha River
Triple: [Meenachil River, hasTributary, Kozha River]
Generated description
Kozha River is a minor river in the Kottayam region of Kerala, India, known primarily as a tributary of the Meenachil River.

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_69f224ce48348190bd0fc23f656ed683 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6966848ec8190b375f69a560d1a84 completed May 3, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5b62136b108190b14dd1d9a39541cd completed July 18, 2026, 11:22 a.m.
NEDg Description generation batch_6a5b6294c9a48190a1598a4789409925 completed July 18, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_6a5b6311427481909475f3398152eab2 completed July 18, 2026, 11:27 a.m.
Created at: April 29, 2026, 9:02 p.m.