Triple

T38393894
Position Surface form Disambiguated ID Type / Status
Subject Kocamustafapaşa Mosque E899802 entity
Predicate locatedIn P40 FINISHED
Object Kocamustafapaşa neighborhood
Kocamustafapaşa neighborhood is a historic residential quarter in Istanbul, Turkey, known for its traditional urban fabric, Ottoman-era architecture, and significant religious landmarks.
E2271412 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: Kocamustafapaşa neighborhood | Statement: [Kocamustafapaşa Mosque, locatedIn, Kocamustafapaşa neighborhood]
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: Kocamustafapaşa neighborhood
Triple: [Kocamustafapaşa Mosque, locatedIn, Kocamustafapaşa neighborhood]
Generated description
Kocamustafapaşa neighborhood is a historic residential quarter in Istanbul, Turkey, known for its traditional urban fabric, Ottoman-era architecture, and significant religious landmarks.

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_69f76e5c9b808190b486523f5c2f817d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd3a47348190b3d340b7fc09a291 completed May 7, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41cc9d45cc8190b50d2fffdbef2371 completed June 29, 2026, 1:38 a.m.
NEDg Description generation batch_6a41ce4186748190a7a24dbfc4f8e0f4 completed June 29, 2026, 1:45 a.m.
NED2 Entity disambiguation (via description) batch_6a41cec6e9b081909c2036bd142be990 completed June 29, 2026, 1:47 a.m.
Created at: May 3, 2026, 4:31 p.m.