Triple

T26178892
Position Surface form Disambiguated ID Type / Status
Subject Neelam River E654616 entity
Predicate formsValley P650 FINISHED
Object Neelam Valley
Neelam Valley is a scenic, mountainous valley in Azad Kashmir, Pakistan, renowned for its lush forests, riverside villages, and popular trekking and tourism spots along the Neelam River.
E1721075 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: Neelam Valley | Statement: [Neelam River, formsValley, Neelam Valley]
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: Neelam Valley
Triple: [Neelam River, formsValley, Neelam Valley]
Generated description
Neelam Valley is a scenic, mountainous valley in Azad Kashmir, Pakistan, renowned for its lush forests, riverside villages, and popular trekking and tourism spots along the Neelam 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_69ee5b45873c81909499203612d05d07 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60c6e0768819088a0a5dd82390c09 completed May 2, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a41863c8190bd67944472910069 completed May 23, 2026, 12:14 p.m.
NEDg Description generation batch_6a119aecff488190a18c1cf803b31502 completed May 23, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_6a119c2d13388190869495b5b068ab15 completed May 23, 2026, 12:23 p.m.
Created at: April 26, 2026, 8:39 p.m.