Triple
T10072535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pagasetic Gulf |
E213664
|
entity |
| Predicate | hasCoastalTown |
P969
|
FINISHED |
| Object | Agria |
E41253
|
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: Agria | Statement: [Pagasetic Gulf, hasCoastalTown, Agria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agria Context triple: [Pagasetic Gulf, hasCoastalTown, Agria]
-
A.
Agria
chosen
Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
-
B.
Regalica
Regalica is a major distributary of the Oder River in northwestern Poland, flowing through Szczecin and connecting regional waterways including Dąbie Lake.
-
C.
Garliava
Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
-
D.
Dorla
Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
-
E.
Argobba
Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd013c9d0819091ebe6fc399832de |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ab376488190bfb3efdb3f240cca |
completed | April 5, 2026, 5:24 p.m. |
Created at: March 30, 2026, 8:59 p.m.