Triple
T9856227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Coral Reef |
E239593
|
entity |
| Predicate | focusesOnHabitat |
P22357
|
FINISHED |
| Object | coral reef |
—
|
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 reef | Statement: [Pacific Coral Reef, focusesOnHabitat, coral reef]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnHabitat Context triple: [Pacific Coral Reef, focusesOnHabitat, coral reef]
-
A.
featuresHabitat
chosen
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
B.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
C.
preferredHabitat
Indicates the type of environment or habitat in which an entity most commonly lives or thrives.
-
D.
hasNearbyHabitats
Indicates that one entity has other habitats located close to it in geographic or spatial terms.
-
E.
isMajorHabitatFor
Indicates that one entity serves as a primary or significant natural living environment for another entity.
- 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb39719288190adf45e7c029edd51 |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:35 p.m.