Triple

T27823615
Position Surface form Disambiguated ID Type / Status
Subject Turkish national road network E702886 entity
Predicate majorCorridor P3034 FINISHED
Object Istanbul–Edirne corridor
The Istanbul–Edirne corridor is a key transport axis in northwestern Turkey that links Istanbul with the city of Edirne and serves as a primary route toward Europe.
E1803383 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: Istanbul–Edirne corridor | Statement: [Turkish national road network, majorCorridor, Istanbul–Edirne corridor]
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: Istanbul–Edirne corridor
Triple: [Turkish national road network, majorCorridor, Istanbul–Edirne corridor]
Generated description
The Istanbul–Edirne corridor is a key transport axis in northwestern Turkey that links Istanbul with the city of Edirne and serves as a primary route toward Europe.

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_69ef840ad1e88190b5bff2d1ddec8700 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f6386fd3c881908bd96b538619cd0f completed May 2, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c8e62f008190b999bc71c09b4514 completed May 26, 2026, 4:23 p.m.
NEDg Description generation batch_6a15cd65b5bc8190baf84be7b0b62613 completed May 26, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a15ce99f0bc8190851afa77f31d6b67 completed May 26, 2026, 4:47 p.m.
Created at: April 27, 2026, 5:50 p.m.