Triple
T23996639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bajo Nuevo Reef |
E605207
|
entity |
| Predicate | mostly |
P9784
|
FINISHED |
| Object | submerged |
—
|
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: submerged | Statement: [Bajo Nuevo Reef, mostly, submerged]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostly Context triple: [Bajo Nuevo Reef, mostly, submerged]
-
A.
mostlyIn
Indicates that one entity is contained or located within another entity to a predominant or greater extent, though not necessarily entirely.
-
B.
isMostly
chosen
Indicates that one entity constitutes the greater part or majority of another entity in amount, extent, or composition.
-
C.
among
Indicates that one or more entities are considered as part of, or in relation to, a larger group or collection of entities.
-
D.
majorUse
Indicates that something serves as the primary or most significant use or application of an entity.
-
E.
major
Indicates that one entity is the primary field of academic specialization or main area of study 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38f8a208190a293c64b9c9202c0 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:38 p.m.