Triple

T35348296

Position	Surface form	Disambiguated ID	Type / Status
Subject	Inner House judges	`E1020803`	entity
Predicate	sitIn	`P183048`	FINISHED
Object	Inner House of the Court of Session The Inner House of the Court of Session is the supreme civil appellate court in Scotland, handling appeals from the Outer House and other lower courts.	`E336908`	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: Inner House of the Court of Session | Statement: [Inner House judges, sitIn, Inner House of the Court of Session]

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: Inner House of the Court of Session
Triple: [Inner House judges, sitIn, Inner House of the Court of Session]

Generated description

The Inner House of the Court of Session is the supreme civil appellate court in Scotland, handling appeals from the Outer House and other lower courts.

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

Target predicate: sitIn
Context triple: [Inner House judges, sitIn, Inner House of the Court of Session]

A. sitterIn
Indicates that one entity is acting as a sitter (e.g., babysitter, pet sitter, house sitter) for another entity or at a particular place.
B. coSeatIn
Indicates that two or more entities share the same seat or seating location at the same time.
C. maySit
Indicates that one entity is permitted or allowed to sit on or in another entity.
D. canSitIn
Indicates that one entity is able or permitted to sit inside or occupy the seating space of another entity.
E. seatOn
Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
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_69f76decd95c8190ae428f6a19d535de`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69f795b5228c8190adb5bf86e581f70c`	completed	May 3, 2026, 6:36 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3823d20e5c8190b2931c923f920909`	completed	June 21, 2026, 5:48 p.m.
NEDg	Description generation	`batch_6a3824823190819085d090f2dbb608f9`	completed	June 21, 2026, 5:50 p.m.
NED2	Entity disambiguation (via description)	`batch_6a38266c9a8c81908c041eab45f05c6f`	completed	June 21, 2026, 5:59 p.m.
PD	Predicate disambiguation	`batch_69f79104f5b48190a496cdffde8472da`	completed	May 3, 2026, 6:16 p.m.
PDg	Predicate description generation	`batch_69f79527c7bc8190a69d87bec01f65c8`	completed	May 3, 2026, 6:34 p.m.

Created at: May 3, 2026, 4:03 p.m.