Triple
T9025750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tcl |
E216043
|
entity |
| Predicate | oftenUsedWith |
P4791
|
FINISHED |
| Object |
Tk
Tk is a cross-platform graphical user interface (GUI) toolkit commonly used with the Tcl scripting language to build windowed applications.
|
E773895
|
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 | Statement: [Tcl, oftenUsedWith, Tk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tk Context triple: [Tcl, oftenUsedWith, Tk]
-
A.
TK
TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
-
B.
KVTK
KVTK is a cryogenic upper stage designed to enhance the performance and payload capacity of Russia’s Angara family of launch vehicles.
-
C.
TKN
TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
-
D.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
-
E.
Tek
Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
- 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 Triple: [Tcl, oftenUsedWith, Tk]
Generated description
Tk is a cross-platform graphical user interface (GUI) toolkit commonly used with the Tcl scripting language to build windowed applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tk Target entity description: Tk is a cross-platform graphical user interface (GUI) toolkit commonly used with the Tcl scripting language to build windowed applications.
-
A.
TK
TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
-
B.
KVTK
KVTK is a cryogenic upper stage designed to enhance the performance and payload capacity of Russia’s Angara family of launch vehicles.
-
C.
TKN
TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
-
D.
DTK
DTK is Apple’s Intel-based Developer Transition Kit Mac mini-style prototype used to help developers prepare their apps for the company’s transition to Apple Silicon.
-
E.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7ce71c81908041814dc9ec1713 |
completed | April 1, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbbf786081908df45b4e615bbba9 |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdd3117c881908645b6526537571a |
completed | April 3, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfe10917188190b0223b14e7a8ed39 |
completed | April 3, 2026, 3:47 p.m. |
Created at: March 30, 2026, 7:07 p.m.