Triple
T17096652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponce de León expedition of 1513 |
E414866
|
entity |
| Predicate | firstLandingPlace |
P100039
|
FINISHED |
| Object | Atlantic coast of Florida |
—
|
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: Atlantic coast of Florida | Statement: [Ponce de León expedition of 1513, firstLandingPlace, Atlantic coast of Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLandingPlace Context triple: [Ponce de León expedition of 1513, firstLandingPlace, Atlantic coast of Florida]
-
A.
firstLandingBy
Indicates that one entity is the earliest or initial instance to arrive, land, or touch down at a particular place or target relative to others.
-
B.
firstToLand
chosen
Indicates that the subject is the earliest or initial entity to arrive at or touch down on a particular place or surface.
-
C.
firstFlightLandingSite
Indicates the location where an aircraft or spacecraft completes its initial flight by landing.
-
D.
wasLandingSiteIn
Indicates that a specific landing event occurred at or within the location denoted by the related entity.
-
E.
firstSuccessfulLaunchSite
Indicates the launch site where an entity’s first successful launch or mission took place.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfdc9c88190b4e75bbdf4105c1e |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.