Triple
T12128791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mersin Province |
E288878
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Toroslar
Toroslar is a district and municipality in southern Turkey known for its mountainous terrain and proximity to the city of Mersin.
|
E967917
|
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: Toroslar | Statement: [Mersin Province, hasDistrict, Toroslar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toroslar Context triple: [Mersin Province, hasDistrict, Toroslar]
-
A.
Toros
Toros is the nickname of Major League Soccer club FC Dallas, reflecting the team's bull-themed identity.
-
B.
Toros
The Toros are the athletic teams representing California State University, Dominguez Hills in intercollegiate sports.
-
C.
Toros
Toros is the abbreviated name of the Austin Toros, a professional basketball team that competed in the NBA Development League.
-
D.
Toros
Toros is the short name of the Toronto Toros, a former World Hockey Association team based in Toronto, Canada.
-
E.
Bull
Bull was the notorious nickname of Eugene "Bull" Connor, the Birmingham, Alabama public safety commissioner whose brutal enforcement of racial segregation during the Civil Rights Movement made him a national symbol of racist oppression.
- 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: Toroslar Triple: [Mersin Province, hasDistrict, Toroslar]
Generated description
Toroslar is a district and municipality in southern Turkey known for its mountainous terrain and proximity to the city of Mersin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toroslar Target entity description: Toroslar is a district and municipality in southern Turkey known for its mountainous terrain and proximity to the city of Mersin.
-
A.
Toros
Toros is the nickname of Major League Soccer club FC Dallas, reflecting the team's bull-themed identity.
-
B.
Toros
The Toros are the athletic teams representing California State University, Dominguez Hills in intercollegiate sports.
-
C.
Toros
Toros is the abbreviated name of the Austin Toros, a professional basketball team that competed in the NBA Development League.
-
D.
Toros
Toros is the short name of the Toronto Toros, a former World Hockey Association team based in Toronto, Canada.
-
E.
Bull
Bull was the notorious nickname of Eugene "Bull" Connor, the Birmingham, Alabama public safety commissioner whose brutal enforcement of racial segregation during the Civil Rights Movement made him a national symbol of racist oppression.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158a2c2c8190aaff9d0cce177565 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68ac15c81908388dd3194e9dfc4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6048d6f24819093862fb46f9938f1 |
completed | May 2, 2026, 2:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6056e3fdc81908e6e97c4c37a18bb |
completed | May 2, 2026, 2:08 p.m. |
Created at: April 8, 2026, 9:49 p.m.