Triple

T35596881
Position Surface form Disambiguated ID Type / Status
Subject Sitarganj E1028656 entity
Predicate hasIndustrialArea P40 FINISHED
Object Integrated Industrial Estate Sitarganj
Integrated Industrial Estate Sitarganj is a planned industrial hub in Uttarakhand, India, developed to host a range of manufacturing and commercial units with supporting infrastructure.
E2148298 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: Integrated Industrial Estate Sitarganj | Statement: [Sitarganj, hasIndustrialArea, Integrated Industrial Estate Sitarganj]
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: Integrated Industrial Estate Sitarganj
Triple: [Sitarganj, hasIndustrialArea, Integrated Industrial Estate Sitarganj]
Generated description
Integrated Industrial Estate Sitarganj is a planned industrial hub in Uttarakhand, India, developed to host a range of manufacturing and commercial units with supporting infrastructure.

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_69f76e0598dc8190a6a093e904b9aa70 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79ea94cd88190a4ce214b1343ff0f completed May 3, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a385bde7b808190b3c28ba160885cf2 completed June 21, 2026, 9:47 p.m.
NEDg Description generation batch_6a385ca70cc08190abfd88ab51828c9f completed June 21, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a385d6d137c8190854b4078389e3016 completed June 21, 2026, 9:53 p.m.
Created at: May 3, 2026, 4:05 p.m.