Triple

T36813807
Position Surface form Disambiguated ID Type / Status
Subject Tha Tien Pier E909668 entity
Predicate isPartOf P10 FINISHED
Object Chao Phraya River boat network
The Chao Phraya River boat network is a system of public and tourist boat services along Bangkok’s main river, providing key water-based transportation between piers, historic sites, and commercial areas.
E2201864 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: Chao Phraya River boat network | Statement: [Tha Tien Pier, isPartOf, Chao Phraya River boat network]
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: Chao Phraya River boat network
Triple: [Tha Tien Pier, isPartOf, Chao Phraya River boat network]
Generated description
The Chao Phraya River boat network is a system of public and tourist boat services along Bangkok’s main river, providing key water-based transportation between piers, historic sites, and commercial areas.

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_69f76e7cbbf48190891227b14d041139 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7ca6ff9c4819093b5c3eb668ec7de completed May 3, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde5f21648190aa278d9c91a09f91 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3ddf82de40819096f8cd0c5e4f9fdc completed June 26, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_6a3df4bf3db48190946180911b0494db completed June 26, 2026, 3:40 a.m.
Created at: May 3, 2026, 4:13 p.m.