Triple

T31069667
Position Surface form Disambiguated ID Type / Status
Subject Istana Bukit Tanjung Labis 2 E791781 entity
Predicate partOf P40 FINISHED
Object Johor royal properties
Johor royal properties are a collection of palaces, estates, and other assets owned by the Johor royal family in Malaysia, reflecting their historical status, wealth, and influence in the state.
E1943990 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: Johor royal properties | Statement: [Istana Bukit Tanjung Labis 2, partOf, Johor royal properties]
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: Johor royal properties
Triple: [Istana Bukit Tanjung Labis 2, partOf, Johor royal properties]
Generated description
Johor royal properties are a collection of palaces, estates, and other assets owned by the Johor royal family in Malaysia, reflecting their historical status, wealth, and influence in the state.

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_69f224cc0c5c81908404f087bff92997 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f695b48c848190aa125c462ed5f211 completed May 3, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a292b1c1e24819081d4190644d23876 completed June 10, 2026, 9:15 a.m.
NEDg Description generation batch_6a292bba50988190872ce52d274d9ddf completed June 10, 2026, 9:17 a.m.
NED2 Entity disambiguation (via description) batch_6a292c75ef8481908b7b700acfc11de5 completed June 10, 2026, 9:20 a.m.
Created at: April 29, 2026, 9:01 p.m.