Triple

T31743416
Position Surface form Disambiguated ID Type / Status
Subject Sari, Mazandaran E810198 entity
Predicate hasTouristAttraction P530 FINISHED
Object Clock Square of Sari
Clock Square of Sari is a central urban plaza in Sari, Iran, known for its prominent clock tower and role as a popular local gathering and landmark spot.
 E1976720 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: Clock Square of Sari | Statement: [Sari, Mazandaran, hasTouristAttraction, Clock Square of Sari]
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: Clock Square of Sari
Triple: [Sari, Mazandaran, hasTouristAttraction, Clock Square of Sari]
Generated description
Clock Square of Sari is a central urban plaza in Sari, Iran, known for its prominent clock tower and role as a popular local gathering and landmark spot.

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_69f348e233cc819083b6695f70cd75d8 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab4c16e08190ae522564534d243d completed May 3, 2026, 1:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b947f77208190b41b00a2008fd77d completed June 12, 2026, 5:09 a.m.
NEDg Description generation batch_6a2bab8dc7e481908520e4e68f1a3363 completed June 12, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_6a2bac49156c81909c26be225fa8d927 completed June 12, 2026, 6:50 a.m.
Created at: April 30, 2026, 11:25 p.m.