Triple
T5477326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Posidonia oceanica meadows |
E123387
|
entity |
| Predicate | haveHigh |
P17855
|
FINISHED |
| Object | primary productivity |
—
|
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: primary productivity | Statement: [Posidonia oceanica meadows, haveHigh, primary productivity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveHigh Context triple: [Posidonia oceanica meadows, haveHigh, primary productivity]
-
A.
hasHigh
chosen
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
B.
hasHighPropertyValues
Indicates that the associated entity possesses property values that are above a defined or typical threshold.
-
C.
hasHighest
Indicates that one entity possesses the greatest value, rank, or level in a specified attribute or set compared to all others.
-
D.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
E.
becameHighA
Indicates that an entity transitioned into a state or role characterized as "HighA" (e.g., gaining a higher level, status, or attribute A).
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd92460f008190bf9d64ddd9c507a7 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.