Triple

T33752694

Position	Surface form	Disambiguated ID	Type / Status
Subject	Château d’Issan	`E864887`	entity
Predicate	hasMainWine	`P89315`	FINISHED
Object	Château d’Issan Grand Vin Château d’Issan Grand Vin is the flagship red Bordeaux wine of Château d’Issan, known for its elegant, age-worthy Margaux character and refined balance of structure and aromatics.	`E2065545`	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: Château d’Issan Grand Vin | Statement: [Château d’Issan, hasMainWine, Château d’Issan Grand Vin]

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: Château d’Issan Grand Vin
Triple: [Château d’Issan, hasMainWine, Château d’Issan Grand Vin]

Generated description

Château d’Issan Grand Vin is the flagship red Bordeaux wine of Château d’Issan, known for its elegant, age-worthy Margaux character and refined balance of structure and aromatics.

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

Target predicate: hasMainWine
Context triple: [Château d’Issan, hasMainWine, Château d’Issan Grand Vin]

A. mainWine chosen
Indicates that one wine is the primary or featured wine associated with a given context, event, or entity.
B. hasWineCategory
Indicates that one entity is classified under, or associated with, a particular category or type of wine.
C. hasSparklingWine
Indicates that an entity possesses, includes, or is associated with sparkling wine.
D. hasWinery
Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
E. hasWinemakingOption
Indicates that an entity offers or includes a particular method, feature, or configuration related to winemaking.
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_69f3498c35f881909df279ae4270f831`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_6a013a251b4081908b43d85dd95586c5`	completed	May 11, 2026, 2:08 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a365c92c4cc8190a6b551705c3d66a6`	completed	June 20, 2026, 9:25 a.m.
NEDg	Description generation	`batch_6a365d545fac8190ad4c0ed913721dfc`	completed	June 20, 2026, 9:28 a.m.
NED2	Entity disambiguation (via description)	`batch_6a365f3bc15c8190b1e9419f282e1b08`	completed	June 20, 2026, 9:36 a.m.
PD	Predicate disambiguation	`batch_6a0137e4ea988190812173a5ff044098`	completed	May 11, 2026, 1:59 a.m.

Created at: May 1, 2026, 1:45 a.m.