Triple
T10436020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish Basketball League |
E246041
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
TBL
TBL is the commonly used abbreviation for the Turkish Basketball League, the top professional basketball competition in Turkey.
|
E864014
|
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: TBL | Statement: [Turkish Basketball League, shortName, TBL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TBL Context triple: [Turkish Basketball League, shortName, TBL]
-
A.
TBL
TBL is the standard NHL abbreviation for the Tampa Bay Lightning professional ice hockey team.
-
B.
TBL1+
TBL1+ is a Belgian train protection and signalling system designed to enhance safety by supervising train speeds and enforcing signal obedience on the national railway network.
-
C.
ZTBL
ZTBL is a specialized Pakistani financial institution focused on providing agricultural credit and banking services to farmers and the rural sector.
-
D.
Tababela
Tababela is a rural parish in the Quito Metropolitan District of Ecuador, known for hosting the city’s main air gateway, Mariscal Sucre International Airport.
-
E.
Tabulahan
Tabulahan is a dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
- 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: TBL Triple: [Turkish Basketball League, shortName, TBL]
Generated description
TBL is the commonly used abbreviation for the Turkish Basketball League, the top professional basketball competition in Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TBL Target entity description: TBL is the commonly used abbreviation for the Turkish Basketball League, the top professional basketball competition in Turkey.
-
A.
TBL
TBL is the standard NHL abbreviation for the Tampa Bay Lightning professional ice hockey team.
-
B.
TBL1+
TBL1+ is a Belgian train protection and signalling system designed to enhance safety by supervising train speeds and enforcing signal obedience on the national railway network.
-
C.
ZTBL
ZTBL is a specialized Pakistani financial institution focused on providing agricultural credit and banking services to farmers and the rural sector.
-
D.
Tababela
Tababela is a rural parish in the Quito Metropolitan District of Ecuador, known for hosting the city’s main air gateway, Mariscal Sucre International Airport.
-
E.
Tabulahan
Tabulahan is a dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea843f1c8190afca4a42bc364468 |
completed | April 7, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ec1a0908190b5369ad55cf2bcb1 |
completed | April 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69d886c325c4819089dac35eb26e7961 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dc15ab481909011c5de93bbab14 |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:14 p.m.