Triple
T1783574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punga Mare |
E39339
|
entity |
| Predicate | aggregateState |
P32350
|
FINISHED |
| Object | liquid |
—
|
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: liquid | Statement: [Punga Mare, aggregateState, liquid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aggregateState Context triple: [Punga Mare, aggregateState, liquid]
-
A.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
B.
sharedBetweenState
Indicates that something is jointly possessed, controlled, or utilized by multiple states or state-level entities.
-
C.
acquiredByState
Indicates that an entity has been taken over, obtained, or brought under the control or ownership of a state or government.
-
D.
formerState
Indicates that an entity previously held the status or condition of a particular state but no longer does so.
-
E.
parentState
Indicates that one state serves as the immediate higher-level or containing state of another state within a hierarchical structure.
- F. None of above. chosen
Provenance (4 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab74db3dbc8190ab256a4e158062b8 |
completed | March 7, 2026, 12:44 a.m. |
Created at: March 4, 2026, 7:31 p.m.