Triple
T8609493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GTK |
E203881
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Pidgin |
E745754
|
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: Pidgin | Statement: [GTK, usedBy, Pidgin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pidgin Context triple: [GTK, usedBy, Pidgin]
-
A.
Pidgin
chosen
Pidgin is a free, open-source multi-protocol instant messaging client that allows users to access multiple chat networks through a single interface.
-
B.
Melanesian Pidgin
Melanesian Pidgin is an English-based creole language widely used as a lingua franca in parts of Melanesia, particularly Papua New Guinea.
-
C.
Patois
Patois is a French-based Creole language spoken primarily in the Caribbean, notably in Saint Lucia and Dominica, where it is commonly referred to as Kwéyòl.
-
D.
Bislama
Bislama is an English-based creole language widely spoken in Vanuatu and used as a key lingua franca across its many islands and communities.
-
E.
Kriol
Kriol is an English-based Creole language spoken primarily in Belize, serving as a major lingua franca and key marker of Belizean cultural identity.
- 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_69cc46ed77588190a872d22d9d1f7429 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbb9307c81909b31995c73728e91 |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:25 p.m.