Triple
T12739057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basmane railway station |
E304439
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
Basmane Garı
Basmane Garı is a historic central railway station in İzmir, Turkey, serving as a major hub for regional and intercity train services.
|
E1000752
|
NE FINISHED |
How this triple was built (4 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: Basmane Garı | Statement: [Basmane railway station, hasAbbreviation, Basmane Garı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basmane Garı Context triple: [Basmane railway station, hasAbbreviation, Basmane Garı]
-
A.
Manzala
Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
-
B.
Garat
Garat is a French surname most notably borne by Dominique Joseph Garat, an 18th–19th century French journalist, philosopher, and politician.
-
C.
Damga
Damga is a Turkish novel by Reşat Nuri Güntekin, known for its exploration of social and moral issues in early 20th-century Turkish society.
-
D.
Garamas
Garamas is a minor figure in Greek mythology known primarily as a descendant of the Cretan princess Acacallis.
-
E.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Basmane Garı Triple: [Basmane railway station, hasAbbreviation, Basmane Garı]
Generated description
Basmane Garı is a historic central railway station in İzmir, Turkey, serving as a major hub for regional and intercity train services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Basmane Garı Target entity description: Basmane Garı is a historic central railway station in İzmir, Turkey, serving as a major hub for regional and intercity train services.
-
A.
Manzala
Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
-
B.
Garat
Garat is a French surname most notably borne by Dominique Joseph Garat, an 18th–19th century French journalist, philosopher, and politician.
-
C.
Damga
Damga is a Turkish novel by Reşat Nuri Güntekin, known for its exploration of social and moral issues in early 20th-century Turkish society.
-
D.
Garamas
Garamas is a minor figure in Greek mythology known primarily as a descendant of the Cretan princess Acacallis.
-
E.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
- F. None of above. chosen
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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646cfcac81909283dca987755c0e |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8ff57c8190a935b5c9f4bb5aa3 |
completed | May 2, 2026, 10:37 p.m. |
| NEDg | Description generation | batch_69f67e7416948190a08eb3de840def77 |
completed | May 2, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67f7d237081908d3b6e8d759ea03e |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 9, 2026, 5:26 p.m.