Triple
T24161451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic Ocean |
E598849
|
entity |
| Predicate | bordersCityViaCoast |
P154824
|
FINISHED |
| Object | Recife |
—
|
NE NERFINISHED |
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: Recife | Statement: [Atlantic Ocean, bordersCityViaCoast, Recife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bordersCityViaCoast Context triple: [Atlantic Ocean, bordersCityViaCoast, Recife]
-
A.
cityIsBorderCity
Indicates that a city is located on or near a boundary between two regions, countries, or administrative areas.
-
B.
countryCoastlineOf
Indicates that a country has the specified coastline as part of its national territory or boundary.
-
C.
hasBorderCity
Indicates that one location is a city situated on or very near the border of another geographic or political region.
-
D.
bordersStateAcrossSea
Indicates that one state is separated from another by a sea but still directly borders it across that body of water.
-
E.
shareMajorBorderCities
Indicates that two regions or countries have a shared border along which there are one or more major cities situated on or near that boundary.
- 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_69e288cb0a3081909ef221744f274384 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e9cd6c81908c33242f19fcc034 |
completed | April 29, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 11:32 p.m.