Triple
T4948536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coral Triangle |
E111109
|
entity |
| Predicate | hasHighest |
P60114
|
FINISHED |
| Object | number of coral reef species globally |
—
|
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: number of coral reef species globally | Statement: [Coral Triangle, hasHighest, number of coral reef species globally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighest Context triple: [Coral Triangle, hasHighest, number of coral reef species globally]
-
A.
formerHighest
Indicates that an entity once held the highest rank, position, or status in a given context but no longer does.
-
B.
isHighestRangeOf
Indicates that one entity represents the maximum or topmost range or interval within which another entity falls or is categorized.
-
C.
hasHigh
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
D.
hasHighestCity
Indicates that one entity possesses or contains the city with the greatest value according to some ranking criterion (e.g., highest population, elevation, or status) among a set of cities.
-
E.
hasHighestLift
Indicates that the subject entity achieves the greatest lift value (e.g., improvement or elevation relative to a baseline) compared to all other relevant entities in the given context.
- F. None of above. chosen
Provenance (4 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7166bb6c8190a40775ac8bb723a8 |
completed | March 20, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6fa2d2088190ae444d3d0e47d5d2 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1:31 p.m.