Triple

T32716933
Position Surface form Disambiguated ID Type / Status
Subject Kuala Tembeling E836544 entity
Predicate hasBoatJetty P193426 FINISHED
Object Kuala Tembeling Jetty
Kuala Tembeling Jetty is a riverside embarkation point in Pahang, Malaysia, best known as a main gateway for boat trips to Taman Negara National Park.
 E2018868 NE FINISHED

How this triple was built (3 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: Kuala Tembeling Jetty | Statement: [Kuala Tembeling, hasBoatJetty, Kuala Tembeling Jetty]
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: Kuala Tembeling Jetty
Triple: [Kuala Tembeling, hasBoatJetty, Kuala Tembeling Jetty]
Generated description
Kuala Tembeling Jetty is a riverside embarkation point in Pahang, Malaysia, best known as a main gateway for boat trips to Taman Negara National Park.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasBoatJetty
Context triple: [Kuala Tembeling, hasBoatJetty, Kuala Tembeling Jetty]
  • A. hasBoatFacility
    Indicates that an entity provides or is equipped with facilities or services specifically for boats.
  • B. hasBoat
    Indicates that one entity possesses, owns, or has control over a boat.
  • C. hasBoatRamp
    Indicates that a location provides a designated ramp or launch area for putting boats into the water or taking them out.
  • D. hasBoathouse
    Indicates that one entity possesses, contains, or is associated with a boathouse.
  • E. hasBoatMoorings
    Indicates that one entity provides or contains designated places where boats can be tied up or secured.
  • F. None of above. chosen

Provenance (7 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_69f34935455881909088975d79460418 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd474b7e788190a9bb9b542d878f60 completed May 8, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a349ed0f15c81909984a6c84aaed9b9 completed June 19, 2026, 1:43 a.m.
NEDg Description generation batch_6a349ff71e708190b399c8fd17f99cb3 completed June 19, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_6a34a0da80488190af33f45d0933771c completed June 19, 2026, 1:52 a.m.
PD Predicate disambiguation batch_69fd46d8b2f0819099d92d72c902f60e completed May 8, 2026, 2:13 a.m.
PDg Predicate description generation batch_69fd474a71648190b6b6ae4991db81b1 completed May 8, 2026, 2:15 a.m.
Created at: May 1, 2026, 1:11 a.m.