Triple

T30881573

Position	Surface form	Disambiguated ID	Type / Status
Subject	Samut Sakhon Province	`E786627`	entity
Predicate	hasTransportRoute	`P11026`	FINISHED
Object	Rama II Road Rama II Road is a major highway in Thailand that forms part of Highway 35, connecting Bangkok with coastal provinces such as Samut Sakhon and serving as a key route to the southern region.	`E1944736`	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: Rama II Road | Statement: [Samut Sakhon Province, hasTransportRoute, Rama II Road]

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: Rama II Road
Triple: [Samut Sakhon Province, hasTransportRoute, Rama II Road]

Generated description

Rama II Road is a major highway in Thailand that forms part of Highway 35, connecting Bangkok with coastal provinces such as Samut Sakhon and serving as a key route to the southern region.

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_69f224bae17c8190bb3a6a28e3d019df`	completed	April 29, 2026, 3:33 p.m.
NER	Named-entity recognition	`batch_69f6920337108190be9cbe5d90986f5c`	completed	May 3, 2026, 12:08 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a292af8ef4c8190928576822e52853f`	completed	June 10, 2026, 9:14 a.m.
NEDg	Description generation	`batch_6a292de433f08190a69526a2ea7447ca`	completed	June 10, 2026, 9:27 a.m.
NED2	Entity disambiguation (via description)	`batch_6a292e525cb08190866c0d2af0c8fa3e`	completed	June 10, 2026, 9:28 a.m.

Created at: April 29, 2026, 8:48 p.m.