Triple
T18758151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelagonia |
E458701
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Resen |
—
|
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: Resen | Statement: [Pelagonia, hasCity, Resen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Resen Context triple: [Pelagonia, hasCity, Resen]
-
A.
Resen
chosen
Resen is a small town in southwestern North Macedonia that serves as the administrative and cultural center of the Prespa region near Lake Prespa.
-
B.
Romsa
Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
-
C.
Resia
Resia is a small village in South Tyrol, northern Italy, known for its proximity to the submerged bell tower of Lake Resia in the Reschen Pass.
-
D.
Arrifes
Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
-
E.
Šolta
Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f42d0881909bd9ca9c7916516a |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:52 a.m.