Triple
T5175879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunnsviken |
E116796
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Frescati |
E402448
|
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: Frescati | Statement: [Brunnsviken, adjacentTo, Frescati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frescati Context triple: [Brunnsviken, adjacentTo, Frescati]
-
A.
Frescati
chosen
Frescati is an area in northern Stockholm, Sweden, known for hosting Stockholm University and several major cultural and scientific institutions.
-
B.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
C.
Cascia
Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
-
D.
Poggio Nativo
Poggio Nativo is a small Italian municipality in the Lazio region, known for its rural landscape and traditional hilltop village setting.
-
E.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd797349008190b87ad9d0d3eb667f |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7f6b98c8190bbc4f123560d32f4 |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:45 p.m.