Triple
T8609485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GTK |
E203881
|
entity |
| Predicate | bindingAvailableFor |
P66403
|
FINISHED |
| Object | Vala |
E745747
|
NE FINISHED |
How this triple was built (2 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: Vala | Statement: [GTK, bindingAvailableFor, Vala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vala Context triple: [GTK, bindingAvailableFor, Vala]
-
A.
Vala
chosen
Vala is a high-level programming language designed to bring modern language features to the GNOME/GTK ecosystem while compiling down to efficient C code.
-
B.
Vatia
Vatia is a coastal village in American Samoa known for its scenic bay, traditional Samoan culture, and proximity to the National Park of American Samoa.
-
C.
Vaala
Vaala is a municipality in northern Finland known for its lakeside landscapes and location along the Oulujoki river.
-
D.
Govuro
Govuro is a small town and district in southeastern Mozambique known for its rural communities and coastal proximity within Inhambane Province.
-
E.
Langa
Langa is a surname and place name found in various cultures, notably in Southern Africa and parts of Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69cc5c2d852081908901f5d2a47035b0 |
completed | March 31, 2026, 11:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc8b99cc8190b319a435f456ec05 |
completed | April 2, 2026, 8:07 p.m. |
Created at: March 30, 2026, 6:25 p.m.