Triple

T36803021

Position	Surface form	Disambiguated ID	Type / Status
Subject	Central Pier (Sathorn)	`E909371`	entity
Predicate	hasPierCode	`P187021`	FINISHED
Object	Central Pier Central Pier is a major river transport hub on Bangkok’s Chao Phraya River, serving as a key interchange point for commuter boats and nearby transit systems.	`E2199142`	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: Central Pier | Statement: [Central Pier (Sathorn), hasPierCode, Central Pier]

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: Central Pier
Triple: [Central Pier (Sathorn), hasPierCode, Central Pier]

Generated description

Central Pier is a major river transport hub on Bangkok’s Chao Phraya River, serving as a key interchange point for commuter boats and nearby transit systems.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasPierCode
Context triple: [Central Pier (Sathorn), hasPierCode, Central Pier]

A. hasPier
Indicates that a location or structure possesses or includes a pier as part of its features.
B. hasPierName
Indicates that an entity (such as a berth, dock, or mooring location) is associated with a specific pier name.
C. hasPiersOn
Indicates that one structure or location is supported or extended by piers that are physically situated on another structure or surface.
D. hasPierFunction
Indicates that an entity serves the role or function of a pier, such as providing a structure that extends over water for access, docking, or related activities.
E. hasPierNumberRange
Indicates that an entity is associated with a continuous range of pier numbers, from a starting pier number to an ending pier number.
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_69f76e7b98888190899b6478a82ad6ae`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_69fb2e940d5c8190bceae77daf4ef512`	completed	May 6, 2026, 12:05 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3d17b20bac8190bb73387ece847ddd`	completed	June 25, 2026, 11:57 a.m.
NEDg	Description generation	`batch_6a3d18e02fdc8190bded018c870e7e53`	completed	June 25, 2026, 12:02 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3d647697248190a8d3561f8986f0ff`	completed	June 25, 2026, 5:25 p.m.
PD	Predicate disambiguation	`batch_69f9fec70bd881909c658a3c5020318b`	completed	May 5, 2026, 2:29 p.m.
PDg	Predicate description generation	`batch_69fb2e9309fc81909dfefd9020d6fbad`	completed	May 6, 2026, 12:05 p.m.

Created at: May 3, 2026, 4:12 p.m.