Triple
T191163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straits of Florida |
E3723
|
entity |
| Predicate | hasAverageTransportOfGulfStream |
P7848
|
FINISHED |
| Object | on the order of tens of Sverdrups |
—
|
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: on the order of tens of Sverdrups | Statement: [Straits of Florida, hasAverageTransportOfGulfStream, on the order of tens of Sverdrups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAverageTransportOfGulfStream Context triple: [Straits of Florida, hasAverageTransportOfGulfStream, on the order of tens of Sverdrups]
-
A.
hasGulf
Indicates that one geographic entity contains or is bordered by a gulf associated with another entity.
-
B.
hasStrait
Indicates that there is a strait—a narrow body of water—connecting or lying between the two referenced geographic entities.
-
C.
hasOcean
Indicates that a geographic region, country, or landmass is bordered by or directly adjacent to a particular ocean.
-
D.
hasNotableSea
Indicates that an entity is associated with or contains a sea that is considered notable or significant.
-
E.
hasAverageSurfaceSpeed
Indicates the typical or mean speed at which something moves across a surface over a given period or distance.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25964fc5c8190bd3e37daaf695ecf |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25673ce3c8190b1a3df5b814a0595 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a258fbd18881908c9d40f7a2480945 |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.