Triple
T8608689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GTK |
E203866
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object |
Pango
Pango is a text layout and rendering library widely used in the GNOME/GTK ecosystem to provide internationalized, high-quality font and text handling.
|
E745749
|
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: Pango | Statement: [GTK, component, Pango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pango Context triple: [GTK, component, Pango]
-
A.
Pango
Pango is a coastal village on the island of Efate in Vanuatu, known for its traditional communities and proximity to the capital, Port Vila.
-
B.
Uniscribe
Uniscribe is a Windows text layout and shaping engine that provides complex script support, including advanced rendering and typographic features for scripts such as Arabic.
-
C.
Pluma text editor
Pluma text editor is a lightweight, user-friendly text editor commonly used in Linux environments as part of the MATE desktop ecosystem.
-
D.
Font’s Point
Font’s Point is a scenic overlook in California’s Anza-Borrego Desert famed for its sweeping sunrise views over the eroded badlands.
-
E.
GTK
GTK is a widely used open-source toolkit for creating graphical user interfaces, best known for powering applications in the GNOME desktop environment.
- 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: Pango Triple: [GTK, component, Pango]
Generated description
Pango is a text layout and rendering library widely used in the GNOME/GTK ecosystem to provide internationalized, high-quality font and text handling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pango Target entity description: Pango is a text layout and rendering library widely used in the GNOME/GTK ecosystem to provide internationalized, high-quality font and text handling.
-
A.
Pango
Pango is a coastal village on the island of Efate in Vanuatu, known for its traditional communities and proximity to the capital, Port Vila.
-
B.
Uniscribe
Uniscribe is a Windows text layout and shaping engine that provides complex script support, including advanced rendering and typographic features for scripts such as Arabic.
-
C.
Pluma text editor
Pluma text editor is a lightweight, user-friendly text editor commonly used in Linux environments as part of the MATE desktop ecosystem.
-
D.
Font’s Point
Font’s Point is a scenic overlook in California’s Anza-Borrego Desert famed for its sweeping sunrise views over the eroded badlands.
-
E.
GTK
GTK is a widely used open-source toolkit for creating graphical user interfaces, best known for powering applications in the GNOME desktop environment.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ed77588190a872d22d9d1f7429 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea90dd93081908140ac0ce23be820 |
completed | April 2, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69ceaa2c34308190a3bc7717012fea9d |
completed | April 2, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaae76d188190932826c9fd9f7f5f |
completed | April 2, 2026, 5:44 p.m. |
Created at: March 30, 2026, 6:25 p.m.