Triple
T3042456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salyr dialect |
E83161
|
entity |
| Predicate | languageCode |
P15
|
FINISHED |
| Object |
tk (macrolanguage)
tk (macrolanguage) is the ISO 639-1/2/3 code for the Turkmen language, a Turkic macrolanguage spoken primarily in Turkmenistan and surrounding regions.
|
E320993
|
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: tk (macrolanguage) | Statement: [Salyr dialect, languageCode, tk (macrolanguage)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tk (macrolanguage) Context triple: [Salyr dialect, languageCode, tk (macrolanguage)]
-
A.
TK
TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
-
B.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
-
C.
.tf
.tf is the country code top-level domain (ccTLD) designated for the French Southern and Antarctic Lands, an overseas territory of France.
-
D.
TXL
TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
E.
Kt
Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
- 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: tk (macrolanguage) Triple: [Salyr dialect, languageCode, tk (macrolanguage)]
Generated description
tk (macrolanguage) is the ISO 639-1/2/3 code for the Turkmen language, a Turkic macrolanguage spoken primarily in Turkmenistan and surrounding regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: tk (macrolanguage) Target entity description: tk (macrolanguage) is the ISO 639-1/2/3 code for the Turkmen language, a Turkic macrolanguage spoken primarily in Turkmenistan and surrounding regions.
-
A.
TK
TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
-
B.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
-
C.
.tf
.tf is the country code top-level domain (ccTLD) designated for the French Southern and Antarctic Lands, an overseas territory of France.
-
D.
TXL
TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
E.
Kt
Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5d2a308190b4ce20efcae9b761 |
completed | March 8, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ded35e008190be7dd72aa7537a3b |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1dfa2fb28819089d7d76d9dc72e06 |
completed | March 11, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e0243a848190bce24d035a79fc0a |
completed | March 11, 2026, 9:35 p.m. |
Created at: March 8, 2026, 3:01 p.m.