Triple

T25835603
Position Surface form Disambiguated ID Type / Status
Subject Deccan Gymkhana E650787 entity
Predicate hasSportsFacility P105 FINISHED
Object Pune District Tennis Association courts
The Pune District Tennis Association courts are a prominent tennis facility in Pune, India, known for hosting local and regional tournaments and providing training infrastructure for players.
E1698322 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: Pune District Tennis Association courts | Statement: [Deccan Gymkhana, hasSportsFacility, Pune District Tennis Association courts]
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: Pune District Tennis Association courts
Triple: [Deccan Gymkhana, hasSportsFacility, Pune District Tennis Association courts]
Generated description
The Pune District Tennis Association courts are a prominent tennis facility in Pune, India, known for hosting local and regional tournaments and providing training infrastructure for players.

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_69e7ab37438081908f1ccf6284839520 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f601f566d881909953a14790dd1ca1 completed May 2, 2026, 1:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da2dc6a881909696e3c5d356bfa8 completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10db5f1f8c8190a2a6de0f0a03bddf completed May 22, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_6a10dc421ba4819091ac155dff903e9d completed May 22, 2026, 10:44 p.m.
Created at: April 22, 2026, 7:41 a.m.