Triple
T14138712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L'Oceanogràfic |
E350364
|
entity |
| Predicate | numberOfHabitats |
P92447
|
FINISHED |
| Object | multiple marine ecosystems |
—
|
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: multiple marine ecosystems | Statement: [L'Oceanogràfic, numberOfHabitats, multiple marine ecosystems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHabitats Context triple: [L'Oceanogràfic, numberOfHabitats, multiple marine ecosystems]
-
A.
numberOfSpecies
Indicates the count of distinct species associated with a given entity or context.
-
B.
speciesNumber
Indicates the numerical identifier or count associated with a particular species in a given context.
-
C.
hasWildlifeHabitats
chosen
Indicates that an entity contains or supports natural environments where wildlife species live, feed, or reproduce.
-
D.
isMajorHabitatFor
Indicates that one entity serves as a primary or significant natural living environment for another entity.
-
E.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6111a36081909beff35c88a56960 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:40 a.m.