Triple

T24766519
Position Surface form Disambiguated ID Type / Status
Subject Kia Sorento (PBA) E619597 entity
Predicate successorTeamName P3202 FINISHED
Object Mahindra Floodbuster
Mahindra Floodbuster was a Philippine Basketball Association (PBA) franchise known for its brief, rebranded stint in the league under the ownership of Mahindra.
E1651379 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: Mahindra Floodbuster | Statement: [Kia Sorento (PBA), successorTeamName, Mahindra Floodbuster]
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: Mahindra Floodbuster
Triple: [Kia Sorento (PBA), successorTeamName, Mahindra Floodbuster]
Generated description
Mahindra Floodbuster was a Philippine Basketball Association (PBA) franchise known for its brief, rebranded stint in the league under the ownership of Mahindra.

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_69e2fabbea94819092ed41348909622f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f410a6a5d08190b8f518b3cc13a2e7 completed May 1, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105cc82454819097c4f42a1c20f2df completed May 22, 2026, 1:40 p.m.
NEDg Description generation batch_6a105daad81481909d399aba96a1176c completed May 22, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a105e3d647881909b04575cd240d468 completed May 22, 2026, 1:46 p.m.
Created at: April 18, 2026, 4:28 a.m.