Triple

T30425657
Position Surface form Disambiguated ID Type / Status
Subject Sultan Ismail Petra E774020 entity
Predicate commemoratedBy P500 FINISHED
Object Sultan Ismail Petra Bridge
Sultan Ismail Petra Bridge is a major road bridge in Kelantan, Malaysia, named in honor of Sultan Ismail Petra and serving as an important local transportation link.
E1914273 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: Sultan Ismail Petra Bridge | Statement: [Sultan Ismail Petra, commemoratedBy, Sultan Ismail Petra Bridge]
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: Sultan Ismail Petra Bridge
Triple: [Sultan Ismail Petra, commemoratedBy, Sultan Ismail Petra Bridge]
Generated description
Sultan Ismail Petra Bridge is a major road bridge in Kelantan, Malaysia, named in honor of Sultan Ismail Petra and serving as an important local transportation link.

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_69f22491ba248190b9a4776ca8e42d02 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f686678c388190b1ffcbfb8f964e22 completed May 2, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798b55a7481908118d7742d583cb4 completed June 9, 2026, 4:38 a.m.
NEDg Description generation batch_6a2799dccce08190960fd50228b7e93e completed June 9, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_6a279a6b36b08190acc11ff8b0412ae9 completed June 9, 2026, 4:45 a.m.
Created at: April 29, 2026, 8:06 p.m.