Triple
T13023900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maug Islands |
E326249
|
entity |
| Predicate | lagoonDepth |
P107514
|
FINISHED |
| Object | approximately 200 metres |
—
|
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: approximately 200 metres | Statement: [Maug Islands, lagoonDepth, approximately 200 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lagoonDepth Context triple: [Maug Islands, lagoonDepth, approximately 200 metres]
-
A.
lakeMaximumDepth
Indicates the greatest recorded vertical distance from the lake’s surface to its deepest point.
-
B.
lagoonType
Indicates the specific kind or classification of a lagoon associated with an entity.
-
C.
lagoonArea
Indicates the total surface area covered by a lagoon.
-
D.
seaDepthRange
Indicates the minimum and maximum water depth values associated with a given sea or marine location.
-
E.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ed05e9c8190a4f208662bca0602 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e3df2288190a7f27d31d248bb7f |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:52 p.m.