Triple

T25510458
Position Surface form Disambiguated ID Type / Status
Subject Clan Ramsay E639360 entity
Predicate hasTartanVariant P10431 FINISHED
Object Ramsay Red tartan
Ramsay Red tartan is a traditional Scottish plaid pattern associated with Clan Ramsay, characterized by its predominantly red sett and used in kilts and other Highland dress.
 E1686596 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: Ramsay Red tartan | Statement: [Clan Ramsay, hasTartanVariant, Ramsay Red tartan]
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: Ramsay Red tartan
Triple: [Clan Ramsay, hasTartanVariant, Ramsay Red tartan]
Generated description
Ramsay Red tartan is a traditional Scottish plaid pattern associated with Clan Ramsay, characterized by its predominantly red sett and used in kilts and other Highland dress.

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_69e75dbd09308190b6b5f0afdc12ec6d completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f809726081908ae4122cd4e581c1 completed May 2, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b744b7bc81908410eb93f7c96993 completed May 22, 2026, 8:06 p.m.
NEDg Description generation batch_6a10b7fa6d60819097ff930865af4032 completed May 22, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_6a10b96903108190bd27481597bf46fa completed May 22, 2026, 8:15 p.m.
Created at: April 21, 2026, 2:48 p.m.