Triple
T22371063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabdulla Tuqay |
E553039
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Tugan tel
Tugan tel is a celebrated poem by Gabdulla Tuqay that reflects on the beauty and significance of the Tatar native language.
|
E1533079
|
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: Tugan tel | Statement: [Gabdulla Tuqay, notableWork, Tugan tel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tugan tel Context triple: [Gabdulla Tuqay, notableWork, Tugan tel]
-
A.
TUG
TUG is the commonly used abbreviation for Graz University of Technology, a major Austrian university specializing in engineering and technical sciences.
-
B.
TUG
TUG (TeX Users Group) is an international organization that supports and promotes the TeX typesetting system and related software.
-
C.
Tush
"Tush" is a 1975 blues-rock song by American rock band ZZ Top, known for its driving riff and status as one of the group's signature hits.
-
D.
Telu
Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
-
E.
Tugun
Tugun is a coastal suburb on the southern Gold Coast in Queensland, Australia, known for its beaches and proximity to the New South Wales border.
- 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: Tugan tel Triple: [Gabdulla Tuqay, notableWork, Tugan tel]
Generated description
Tugan tel is a celebrated poem by Gabdulla Tuqay that reflects on the beauty and significance of the Tatar native language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tugan tel Target entity description: Tugan tel is a celebrated poem by Gabdulla Tuqay that reflects on the beauty and significance of the Tatar native language.
-
A.
TUG
TUG is the commonly used abbreviation for Graz University of Technology, a major Austrian university specializing in engineering and technical sciences.
-
B.
TUG
TUG (TeX Users Group) is an international organization that supports and promotes the TeX typesetting system and related software.
-
C.
Tush
"Tush" is a 1975 blues-rock song by American rock band ZZ Top, known for its driving riff and status as one of the group's signature hits.
-
D.
Telu
Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
-
E.
Tugun
Tugun is a coastal suburb on the southern Gold Coast in Queensland, Australia, known for its beaches and proximity to the New South Wales border.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15803e7208190ba14c91fb90e15ca |
completed | April 29, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae06a3304819087a6f0f97d9b2d5a |
completed | May 18, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_6a0ae1fc97fc8190a29ec44cdc293591 |
completed | May 18, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae27a0cd88190aa869980829625a4 |
completed | May 18, 2026, 9:57 a.m. |
Created at: April 16, 2026, 8:44 p.m.