Triple

T31707028
Position Surface form Disambiguated ID Type / Status
Subject HW E809207 entity
Predicate near P350 FINISHED
Object Ganga river at Haridwar
The Ganga river at Haridwar is a major sacred stretch of the Ganges in northern India where millions of Hindu pilgrims gather for ritual bathing and religious ceremonies.
 E1973703 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: Ganga river at Haridwar | Statement: [HW, near, Ganga river at Haridwar]
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: Ganga river at Haridwar
Triple: [HW, near, Ganga river at Haridwar]
Generated description
The Ganga river at Haridwar is a major sacred stretch of the Ganges in northern India where millions of Hindu pilgrims gather for ritual bathing and religious ceremonies.

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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aacd74848190b556e62dc8bb8154 completed May 3, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b84cda6688190bd6e88ab0302835a completed June 12, 2026, 4:02 a.m.
NEDg Description generation batch_6a2b85a5ab2c8190a60fcabd52457238 completed June 12, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2b8691a20481908df4fde011217317 completed June 12, 2026, 4:09 a.m.
Created at: April 30, 2026, 11:14 p.m.