Triple
T37171532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iargara |
E920921
|
entity |
| Predicate | borderingCountryOfItsCountry |
P201483
|
FINISHED |
| Object | Romania |
—
|
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: Romania | Statement: [Iargara, borderingCountryOfItsCountry, Romania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingCountryOfItsCountry Context triple: [Iargara, borderingCountryOfItsCountry, Romania]
-
A.
borderingCountryOfState
Indicates that one country shares a land or maritime boundary directly with the specified state.
-
B.
hasCountryBorderWith
Indicates that two countries share a common land or maritime boundary.
-
C.
borderingCountryOfTerritory
Indicates that one country shares a land or maritime boundary with the specified territory.
-
D.
countryBordering
Indicates that one country shares a land or maritime boundary directly with another country.
-
E.
borderingCountryContext
Indicates that one country shares a land or maritime boundary with another within a specified geopolitical or temporal context.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fff9b126b4819085a4cf8791d388d1 |
completed | May 10, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69fff8f913a881908d3b7e490d92631f |
completed | May 10, 2026, 3:18 a.m. |
| PDg | Predicate description generation | batch_69fff9b0338c8190a24ed0b5dc9784b2 |
completed | May 10, 2026, 3:21 a.m. |
Created at: May 3, 2026, 4:15 p.m.