Triple

T27807708

Position	Surface form	Disambiguated ID	Type / Status
Subject	Secretary-General of the Presidential Office of the Republic of China	`E702427`	entity
Predicate	hasFormalStyle	`P134513`	FINISHED
Object	Secretary-General The Secretary-General is the chief administrative officer responsible for managing the operations and staff of the Presidential Office of the Republic of China (Taiwan).	`E1795606`	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: Secretary-General | Statement: [Secretary-General of the Presidential Office of the Republic of China, hasFormalStyle, Secretary-General]

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: Secretary-General
Triple: [Secretary-General of the Presidential Office of the Republic of China, hasFormalStyle, Secretary-General]

Generated description

The Secretary-General is the chief administrative officer responsible for managing the operations and staff of the Presidential Office of the Republic of China (Taiwan).

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

Target predicate: hasFormalStyle
Context triple: [Secretary-General of the Presidential Office of the Republic of China, hasFormalStyle, Secretary-General]

A. hasFormalStatus
Indicates that an entity possesses an officially recognized or legally defined status within a formal system or context.
B. hasOfficialStyle chosen
Indicates that an entity possesses a formally recognized style, manner, or form as defined by an authoritative source or standard.
C. formalSetting
Indicates that the associated interaction, event, or context occurs in a formal or official setting governed by explicit social or institutional norms.
D. followsFormalTradition
Indicates that one entity adheres to or complies with an established formal tradition, convention, or set of customary practices associated with another entity.
E. isLessFormalThan
Indicates that one entity has a lower level of formality or is more casual in style, tone, or usage compared to another entity.
F. None of above.

Provenance (6 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_69ef840a16748190926719ab96120bae`	completed	April 27, 2026, 3:43 p.m.
NER	Named-entity recognition	`batch_69f727afd5d88190ad48735cd1b32787`	completed	May 3, 2026, 10:47 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a13113ef228819089df352bdc844365`	completed	May 24, 2026, 2:54 p.m.
NEDg	Description generation	`batch_6a1312659c348190a0ff50deb6efbf66`	completed	May 24, 2026, 2:59 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1312f7f9308190b2a43eebf0a75711`	completed	May 24, 2026, 3:02 p.m.
PD	Predicate disambiguation	`batch_69f72737c42c8190a3f781a5e98868ff`	completed	May 3, 2026, 10:45 a.m.

Created at: April 27, 2026, 5:40 p.m.