Triple
T34697844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okefenokee Oar |
E891078
|
entity |
| Predicate | locationRegionReferenced |
P66507
|
FINISHED |
| Object | Okefenokee Swamp region of Georgia and Florida |
E1165401
|
NE 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: Okefenokee Swamp region of Georgia and Florida | Statement: [Okefenokee Oar, locationRegionReferenced, Okefenokee Swamp region of Georgia and Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationRegionReferenced Context triple: [Okefenokee Oar, locationRegionReferenced, Okefenokee Swamp region of Georgia and Florida]
-
A.
regionReference
chosen
Indicates that one entity refers to, points to, or is associated with a specific region or area defined by another entity.
-
B.
locationRegion2
Indicates that an entity is located within, or associated with, a second or alternative geographic or administrative region.
-
C.
placeRegion
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
D.
longitudeRegion
Indicates that an entity is located within or associated with a specific longitudinal region on the Earth’s surface.
-
E.
regionOfTheReferredCity
Indicates that one entity is the geographic or administrative region in which the referenced city is located.
- F. None of above.
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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3752fef34481908d6b78444e92bd8d |
completed | June 21, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:05 a.m.