Triple
T9626684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tropical Pacific Gallery |
E232482
|
entity |
| Predicate | hasTypeOfHabitatDisplayed |
P22357
|
FINISHED |
| Object | coral reefs |
—
|
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: coral reefs | Statement: [Tropical Pacific Gallery, hasTypeOfHabitatDisplayed, coral reefs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfHabitatDisplayed Context triple: [Tropical Pacific Gallery, hasTypeOfHabitatDisplayed, coral reefs]
-
A.
containsSpeciesWithHabitat
Indicates that an entity includes one or more species that are associated with a particular habitat.
-
B.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
C.
hasExhibitSpecies
Indicates that an exhibit or display includes or features a particular species.
-
D.
featuresHabitat
chosen
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
E.
hasTerrestrialHabitat
Indicates that an entity lives primarily on land or in a ground-based environment rather than in aquatic or aerial habitats.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9afc9144819084b208c3d04174ba |
completed | April 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:10 p.m.