Triple
T23916228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosavi languages |
E602088
|
entity |
| Predicate | fieldworkImportance |
P54903
|
FINISHED |
| Object | significant for understanding Papuan language diversity |
—
|
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: significant for understanding Papuan language diversity | Statement: [Bosavi languages, fieldworkImportance, significant for understanding Papuan language diversity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldworkImportance Context triple: [Bosavi languages, fieldworkImportance, significant for understanding Papuan language diversity]
-
A.
placeOfFieldwork
Indicates the location where a person conducts or has conducted their fieldwork activities.
-
B.
hasConductedFieldworkOn
Indicates that an agent has performed research or investigative fieldwork focused on a particular subject, location, or population.
-
C.
associatedFieldworkSource
Indicates that something is linked to, derived from, or documented by a particular piece of fieldwork or fieldwork data source.
-
D.
fieldOfWork
Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
-
E.
fieldOfSignificance
chosen
Indicates that something holds particular importance, relevance, or impact within a specified domain, context, or area of interest.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce9a744c819080bd30176b8de9a0 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:40 p.m.