Triple
T18730063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tofaş Murat 124 |
E458010
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object |
Murat 124
Murat 124 is a Turkish-built compact car produced by Tofaş under license from Fiat, based on the Fiat 124 model.
|
E1340033
|
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: Murat 124 | Statement: [Tofaş Murat 124, marketedAs, Murat 124]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murat 124 Context triple: [Tofaş Murat 124, marketedAs, Murat 124]
-
A.
Mahmut
Mahmut is a masculine given name commonly used in Turkish and related cultures, derived from the Arabic name Mahmoud.
-
B.
Serdar
Serdar is a town in western Turkmenistan that serves as an administrative and transport hub in the Balkan Region.
-
C.
Murat
Murat is a historic small town in south-central France, known for its volcanic landscape setting in the Cantal region and its traditional stone architecture.
-
D.
Melikgazi
Melikgazi is a central district and municipality of the city of Kayseri in central Turkey, known as one of the province’s main urban and administrative hubs.
-
E.
Sercan
Sercan is a Turkish given name commonly used for males.
- 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: Murat 124 Triple: [Tofaş Murat 124, marketedAs, Murat 124]
Generated description
Murat 124 is a Turkish-built compact car produced by Tofaş under license from Fiat, based on the Fiat 124 model.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Murat 124 Target entity description: Murat 124 is a Turkish-built compact car produced by Tofaş under license from Fiat, based on the Fiat 124 model.
-
A.
Mahmut
Mahmut is a masculine given name commonly used in Turkish and related cultures, derived from the Arabic name Mahmoud.
-
B.
Serdar
Serdar is a town in western Turkmenistan that serves as an administrative and transport hub in the Balkan Region.
-
C.
Murat
Murat is a historic small town in south-central France, known for its volcanic landscape setting in the Cantal region and its traditional stone architecture.
-
D.
Melikgazi
Melikgazi is a central district and municipality of the city of Kayseri in central Turkey, known as one of the province’s main urban and administrative hubs.
-
E.
Sercan
Sercan is a Turkish given name commonly used for males.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7660488190b4f70db963d05ef6 |
completed | April 20, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05325b685c8190a2889755ed931973 |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a053410a8188190992d9fa6130ab372 |
completed | May 14, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05349009e481909fb757415468aa70 |
completed | May 14, 2026, 2:33 a.m. |
Created at: April 10, 2026, 11:50 a.m.