Triple

T37267484
Position Surface form Disambiguated ID Type / Status
Subject Bahariye Caddesi E924423 entity
Predicate hasTransport P1298 FINISHED
Object Kadıköy–Moda nostalgic tram line
The Kadıköy–Moda nostalgic tram line is a heritage streetcar route in Istanbul that operates vintage trams around the Kadıköy and Moda districts as both public transport and a tourist attraction.
E2220333 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: Kadıköy–Moda nostalgic tram line | Statement: [Bahariye Caddesi, hasTransport, Kadıköy–Moda nostalgic tram line]
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: Kadıköy–Moda nostalgic tram line
Triple: [Bahariye Caddesi, hasTransport, Kadıköy–Moda nostalgic tram line]
Generated description
The Kadıköy–Moda nostalgic tram line is a heritage streetcar route in Istanbul that operates vintage trams around the Kadıköy and Moda districts as both public transport and a tourist attraction.

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_69f76eacdd8c819094080d3991e6d37c completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5a9e29788190a0943fdd9f1defe8 completed May 6, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40513175a4819085bc3f0a2590b3a4 completed June 27, 2026, 10:39 p.m.
NEDg Description generation batch_6a4051cb77588190bb567262099da867 completed June 27, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_6a4052a4a25881909cf695660c11d30a completed June 27, 2026, 10:45 p.m.
Created at: May 3, 2026, 4:15 p.m.