Triple
T17154592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawar Islands |
E416310
|
entity |
| Predicate | notableHabitats |
P22357
|
FINISHED |
| Object | coastal wetlands |
—
|
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: coastal wetlands | Statement: [Hawar Islands, notableHabitats, coastal wetlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableHabitats Context triple: [Hawar Islands, notableHabitats, coastal wetlands]
-
A.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
B.
isMajorHabitatFor
Indicates that one entity serves as a primary or significant natural living environment for another entity.
-
C.
featuresHabitat
chosen
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
D.
notableFaunaRegion
Indicates that a region is known for or characteristically associated with particular notable animal species.
-
E.
notableForestAreas
Indicates that there exists a forested region associated with the subject that is recognized as significant or noteworthy in some context.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40a6b7c8190838e588c4fd81d95 |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.