Triple

T25504804
Position Surface form Disambiguated ID Type / Status
Subject Anatolian Railway Company E639218 entity
Predicate builtLine P95209 FINISHED
Object Izmit–Ankara railway
The İzmit–Ankara railway is a key rail line in Turkey that connects the industrial region near Istanbul with the capital Ankara, forming an important segment of the country’s main east–west rail corridor.
 E1685419 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: Izmit–Ankara railway | Statement: [Anatolian Railway Company, builtLine, Izmit–Ankara railway]
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: Izmit–Ankara railway
Triple: [Anatolian Railway Company, builtLine, Izmit–Ankara railway]
Generated description
The İzmit–Ankara railway is a key rail line in Turkey that connects the industrial region near Istanbul with the capital Ankara, forming an important segment of the country’s main east–west rail corridor.

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_69e75dbd09308190b6b5f0afdc12ec6d completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f804c9f48190be4e560a60ee6242 completed May 2, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b74225c08190b1191dfa24906c3a completed May 22, 2026, 8:06 p.m.
NEDg Description generation batch_6a10b7a1897c8190b60613dfa6175b07 completed May 22, 2026, 8:08 p.m.
NED2 Entity disambiguation (via description) batch_6a10b8019a6c8190b917f24f66f8b140 completed May 22, 2026, 8:09 p.m.
Created at: April 21, 2026, 2:46 p.m.