Triple
T453082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solomon Islands Pijin |
E7171
|
entity |
| Predicate | hasTAMSystem |
P8166
|
FINISHED |
| Object | preverbal particles marking tense, aspect and mood |
—
|
LITERAL 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: preverbal particles marking tense, aspect and mood | Statement: [Solomon Islands Pijin, hasTAMSystem, preverbal particles marking tense, aspect and mood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTAMSystem Context triple: [Solomon Islands Pijin, hasTAMSystem, preverbal particles marking tense, aspect and mood]
-
A.
hasMechanism
chosen
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
-
B.
hasInfrastructureType
Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
-
C.
establishedSystem
Indicates that an entity has created, set up, or formally put into operation a particular system or structured arrangement.
-
D.
hasTransportationSystem
Indicates that an entity possesses, operates, or is served by an organized system for transporting people or goods.
-
E.
hasBaggageSystem
Indicates that an entity is equipped with or utilizes a baggage handling system.
- F. None of above.
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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef866e848190a5b700250ec56256 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede3187c8190a7ced078f0ec3476 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.