Triple

T37324801
Position Surface form Disambiguated ID Type / Status
Subject Teluk Bahang E926572 entity
Predicate locatedIn P40 FINISHED
Object Northwest Penang Island District
Northwest Penang Island District is an administrative district on Penang Island, Malaysia, encompassing the island’s northwestern coastal and hilly areas including popular tourist and residential localities.
E2224944 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: Northwest Penang Island District | Statement: [Teluk Bahang, locatedIn, Northwest Penang Island District]
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: Northwest Penang Island District
Triple: [Teluk Bahang, locatedIn, Northwest Penang Island District]
Generated description
Northwest Penang Island District is an administrative district on Penang Island, Malaysia, encompassing the island’s northwestern coastal and hilly areas including popular tourist and residential localities.

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_69f76eb386d88190a8d511aa11540dfc completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5b657cf0819097901dd9382b2ae2 completed May 6, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4076ed34148190a2cd8c01987ee867 completed June 28, 2026, 1:20 a.m.
NEDg Description generation batch_6a4077c183048190b60204779b4336b5 completed June 28, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a4078362d0881909b963ee3fe45787e completed June 28, 2026, 1:26 a.m.
Created at: May 3, 2026, 4:16 p.m.