Triple

T34492567
Position Surface form Disambiguated ID Type / Status
Subject Zanjan knives E885506 entity
Predicate associatedWith P37 FINISHED
Object Iranian handicrafts
Iranian handicrafts are a diverse range of traditional, often handmade arts and crafts—such as metalwork, textiles, ceramics, and woodwork—that reflect Iran’s rich cultural heritage and regional craftsmanship.
E2099321 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: Iranian handicrafts | Statement: [Zanjan knives, associatedWith, Iranian handicrafts]
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: Iranian handicrafts
Triple: [Zanjan knives, associatedWith, Iranian handicrafts]
Generated description
Iranian handicrafts are a diverse range of traditional, often handmade arts and crafts—such as metalwork, textiles, ceramics, and woodwork—that reflect Iran’s rich cultural heritage and regional craftsmanship.

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_69f349cafcec8190997b45b3fdc16c27 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71cf042c48190ab0518d9e16a0322 completed May 3, 2026, 10:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37214195288190aeb1dd22cf41cb72 completed June 20, 2026, 11:24 p.m.
NEDg Description generation batch_6a372200430c8190a70e010e1c3cad77 completed June 20, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a37230e5a448190a0915ebeada6edd2 completed June 20, 2026, 11:32 p.m.
Created at: May 1, 2026, 2:01 a.m.