Triple
T14713854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montopoli di Sabina |
E345623
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Tarano |
E344569
|
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: Tarano | Statement: [Montopoli di Sabina, sharesBorderWith, Tarano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarano Context triple: [Montopoli di Sabina, sharesBorderWith, Tarano]
-
A.
Tarano
chosen
Tarano is a small Italian municipality in the Lazio region, situated within the Province of Rieti and known for its historic hilltop setting and medieval character.
-
B.
Toriano
Toriano is the birth name of Tito Jackson, the American musician and original member of the Jackson 5.
-
C.
Logudoro
Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
-
D.
Maskawa
Maskawa is a Japanese theoretical physicist best known for co-formulating the Cabibbo–Kobayashi–Maskawa (CKM) matrix, which explains quark mixing and CP violation in the Standard Model.
-
E.
Toran
Toran is a given name that can be used for individuals in various cultures and contexts.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0913d6c8190886df4cd0a92aa80 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.