Triple
T4670327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonlé Sap River |
E102944
|
entity |
| Predicate | roleInFisheries |
P3571
|
FINISHED |
| Object | spawning and nursery area connectivity |
—
|
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: spawning and nursery area connectivity | Statement: [Tonlé Sap River, roleInFisheries, spawning and nursery area connectivity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInFisheries Context triple: [Tonlé Sap River, roleInFisheries, spawning and nursery area connectivity]
-
A.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
B.
oceanographicRole
Indicates a relationship where an entity has a specific function, responsibility, or role within the context of oceanographic research, observation, or operations.
-
C.
roleInEcosystem
chosen
Indicates the specific function or contribution an entity has within an ecosystem and how it interacts with other components of that system.
-
D.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
E.
coastRole
Indicates a role or function that an entity has specifically in relation to a coast or coastal area.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.