Triple
T3134480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scarborough Shoal |
E65494
|
entity |
| Predicate | hasAverageLagoonDepth |
P1176
|
FINISHED |
| Object | approximately 15 meters |
—
|
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 15 meters | Statement: [Scarborough Shoal, hasAverageLagoonDepth, approximately 15 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAverageLagoonDepth Context triple: [Scarborough Shoal, hasAverageLagoonDepth, approximately 15 meters]
-
A.
hasAverageDepth
chosen
Indicates that an entity possesses a specified mean depth value, typically measured over its entire extent or area.
-
B.
lakeMaximumDepth
Indicates the greatest recorded vertical distance from the lake’s surface to its deepest point.
-
C.
hasLagoon
Indicates that one entity possesses, contains, or is characterized by a lagoon in relation to another entity or location.
-
D.
hasWaterDepthCategory
Indicates the classification of something based on the range or category of its water depth.
-
E.
hasMajorLake
Indicates that a geographic region or area contains at least one significant lake within its boundaries.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada562540081908627950dd0b56a1e |
completed | March 8, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69ad9df840088190a26a1516f4c1f056 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.