Triple
T22830633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Orleans, Louisiana, United States |
E565791
|
entity |
| Predicate | elevationBelow |
P3073
|
FINISHED |
| Object | sea level in many areas |
—
|
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: sea level in many areas | Statement: [New Orleans, Louisiana, United States, elevationBelow, sea level in many areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationBelow Context triple: [New Orleans, Louisiana, United States, elevationBelow, sea level in many areas]
-
A.
elevationLowerThan
Indicates that the elevation of one entity is lower than the elevation of another entity.
-
B.
elevationBelowGround
Indicates that one entity’s elevation is located beneath the ground surface or reference ground level.
-
C.
isBelowSeaLevel
Indicates that one entity’s vertical position is lower than the standard sea level reference point.
-
D.
partlyBelowSeaLevel
chosen
Indicates that an entity’s elevation is such that some, but not all, of it lies below sea level.
-
E.
elevationMinApprox
Indicates an approximate value for the minimum elevation associated with an entity or location.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2ac8d48190b6dc7edc5ad82bc7 |
completed | April 29, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:34 p.m.