Triple
T126281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Ponce de León |
E2557
|
entity |
| Predicate | landfallLocation |
P6518
|
FINISHED |
| Object | east coast of the Florida peninsula |
—
|
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: east coast of the Florida peninsula | Statement: [Juan Ponce de León, landfallLocation, east coast of the Florida peninsula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landfallLocation Context triple: [Juan Ponce de León, landfallLocation, east coast of the Florida peninsula]
-
A.
placeOfSinking
Indicates the location where an object or entity sank or was submerged.
-
B.
locatedOnWaterbody
Indicates that an entity is situated on or directly adjacent to a specified body of water.
-
C.
locatedInBodyOfWater
Indicates that an entity is situated within or on the surface of a specific body of water.
-
D.
locatedAlong
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
-
E.
ianaLocation
Indicates that an entity is associated with a specific geographic or network location identified using an IANA-defined naming or coding scheme.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a25760af348190bf402089c240887d |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564c11208190ad25495609d94d87 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2575d8a648190ad8e10d4b04e5e07 |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.