Triple

T27057056
Position Surface form Disambiguated ID Type / Status
Subject Kuzguncuk E684926 entity
Predicate hasNotableStreet P26446 FINISHED
Object Perihan Abla Street
Perihan Abla Street is a well-known, picturesque street in Istanbul’s Kuzguncuk neighborhood, famed for its colorful houses and association with the beloved Turkish TV series "Perihan Abla."
 E1755150 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: Perihan Abla Street | Statement: [Kuzguncuk, hasNotableStreet, Perihan Abla Street]
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: Perihan Abla Street
Triple: [Kuzguncuk, hasNotableStreet, Perihan Abla Street]
Generated description
Perihan Abla Street is a well-known, picturesque street in Istanbul’s Kuzguncuk neighborhood, famed for its colorful houses and association with the beloved Turkish TV series "Perihan Abla."

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_69ef14829fac8190914bef9ecc3005d7 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f622b425d48190ae5b1490ebee40f2 completed May 2, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123acea7208190978f664e8000af6c completed May 23, 2026, 11:39 p.m.
NEDg Description generation batch_6a123bd93ac081909b060b395b1d3e81 completed May 23, 2026, 11:44 p.m.
NED2 Entity disambiguation (via description) batch_6a123c4f67388190a885b5ce89f9baa6 completed May 23, 2026, 11:46 p.m.
Created at: April 27, 2026, 8:18 a.m.