Triple
T23338843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benedetto Gaetani |
E591678
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Anagni |
—
|
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: Anagni | Statement: [Benedetto Gaetani, birthPlace, Anagni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anagni Context triple: [Benedetto Gaetani, birthPlace, Anagni]
-
A.
Anagni
chosen
Anagni is a historic medieval town in central Italy, renowned as the "City of the Popes" for having been the residence of several pontiffs and the site of significant events in papal history.
-
B.
Montecastrilli
Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
-
C.
Grottaferrata
Grottaferrata is a historic monastic town in Italy known for its Byzantine-rite abbey and its central role in the Italo-Albanian Catholic tradition.
-
D.
Paliano
Paliano is a historic town in the Lazio region of central Italy, traditionally linked to the noble Colonna family.
-
E.
Monterubbiano
Monterubbiano is a historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983099188190a2e05cf81d62a641 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:17 p.m.