Triple
T9075325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulmo |
E217468
|
entity |
| Predicate | describedAs |
P22
|
FINISHED |
| Object | gelidus Sulmo (cold Sulmo) |
E217468
|
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: gelidus Sulmo (cold Sulmo) | Statement: [Sulmo, describedAs, gelidus Sulmo (cold Sulmo)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: gelidus Sulmo (cold Sulmo) Context triple: [Sulmo, describedAs, gelidus Sulmo (cold Sulmo)]
-
A.
Gelo
Gelo is a film featuring Spanish actress Ivana Baquero in a prominent role.
-
B.
Sulmo
chosen
Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
-
C.
Söll
Söll is a popular Austrian village and ski resort in the Kitzbühel Alps, known for its extensive winter sports facilities and scenic alpine setting.
-
D.
Soligalich
Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
-
E.
Suhum
Suhum is a prominent town in Ghana that serves as a commercial and administrative center within the country's Eastern Region.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c53274819099b3b3047bfe8cc8 |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffdfe16c4819092c884bc3fe5daeb |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:12 p.m.