Triple
T29904514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hangö hamn |
E759498
|
entity |
| Predicate | isSouthernmostCommercialSeaportOf |
P168700
|
FINISHED |
| Object | Finland |
—
|
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: Finland | Statement: [Hangö hamn, isSouthernmostCommercialSeaportOf, Finland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSouthernmostCommercialSeaportOf Context triple: [Hangö hamn, isSouthernmostCommercialSeaportOf, Finland]
-
A.
southernmostCityOf
Indicates that one city is the geographically furthest south among all cities within a specified region or set.
-
B.
isLargestSeaportOn
Indicates that a seaport is the largest seaport located on a specified geographic feature, such as a coast, island, or body of water.
-
C.
isLargestSeaportIn
Indicates that one location is the largest seaport within a specified geographic or political region.
-
D.
isSouthernmostPartOf
Indicates that one entity is the geographically furthest south portion or section of another entity.
-
E.
isAmongLargestPortsIn
Indicates that a port ranks among the largest ports within a specified geographic or administrative area.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6775489c8819082f3ac9e756b6d92 |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 29, 2026, 6:08 p.m.