Triple

T37206403
Position Surface form Disambiguated ID Type / Status
Subject Pali Hill E922181 entity
Predicate transportConnection P1298 FINISHED
Object connected by local roads to Linking Road
Linking Road is a major shopping and commercial thoroughfare in Mumbai, India, known for its bustling street markets, fashion outlets, and heavy traffic.
 E2216868 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: connected by local roads to Linking Road | Statement: [Pali Hill, transportConnection, connected by local roads to Linking Road]
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: connected by local roads to Linking Road
Triple: [Pali Hill, transportConnection, connected by local roads to Linking Road]
Generated description
Linking Road is a major shopping and commercial thoroughfare in Mumbai, India, known for its bustling street markets, fashion outlets, and heavy traffic.

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_69f76ea4849481909b4a3073efb0114c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb366d07b081908bd0d06fcea6c4f9 completed May 6, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4036213d2c81909e34733bba1e4556 completed June 27, 2026, 8:44 p.m.
NEDg Description generation batch_6a403692b8c0819080608b791a585931 completed June 27, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_6a4037016aa881909a72d303ebec4756 completed June 27, 2026, 8:48 p.m.
Created at: May 3, 2026, 4:15 p.m.