Triple

T27417424

Position	Surface form	Disambiguated ID	Type / Status
Subject	Son Tay	`E692939`	entity
Predicate	hasFeature	`P182`	FINISHED
Object	Son Tay Citadel Son Tay Citadel is a historic 19th-century Vietnamese fortress near Hanoi, best known as the target of a 1970 U.S. special forces raid during the Vietnam War.	`E1771612`	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: Son Tay Citadel | Statement: [Son Tay, hasFeature, Son Tay Citadel]

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: Son Tay Citadel
Triple: [Son Tay, hasFeature, Son Tay Citadel]

Generated description

Son Tay Citadel is a historic 19th-century Vietnamese fortress near Hanoi, best known as the target of a 1970 U.S. special forces raid during the Vietnam War.

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_69ef5208617081908f731d312e0fd1bc`	completed	April 27, 2026, 12:09 p.m.
NER	Named-entity recognition	`batch_69f62d1a8c948190ab8629e1349a156f`	completed	May 2, 2026, 4:58 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12b246776c81908a7d08f319780662`	completed	May 24, 2026, 8:09 a.m.
NEDg	Description generation	`batch_6a12b2c102b881908d0c1299f6e1035d`	completed	May 24, 2026, 8:11 a.m.
NED2	Entity disambiguation (via description)	`batch_6a12b33dc9f881908cca1fd1b03c6c67`	completed	May 24, 2026, 8:13 a.m.

Created at: April 27, 2026, 12:34 p.m.