Triple
T17769550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cataldo Mission |
E443595
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Cataldo |
—
|
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: Cataldo | Statement: [Cataldo Mission, locatedIn, Cataldo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cataldo Context triple: [Cataldo Mission, locatedIn, Cataldo]
-
A.
Cataldo
chosen
Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
-
B.
Melfi
Melfi is a historic town in southern Italy known as an important medieval center of Norman rule and site of several papal councils.
-
C.
Gioia del Colle
Gioia del Colle is a historic town in the Apulia region of southern Italy, known for its medieval castle, wine production, and strategic location between Bari and Taranto.
-
D.
Ceccano
Ceccano is a historic town and comune in the Lazio region of central Italy, situated in the Province of Frosinone along the Sacco River.
-
E.
Avola
Avola is a coastal town in southeastern Sicily, Italy, known for its wine production—especially Nero d’Avola—and its almonds.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fe70648190b4107e1eabacc694 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.