Triple
T14111394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferentino |
E339645
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Alatri |
E346293
|
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: Alatri | Statement: [Ferentino, sharesBorderWith, Alatri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alatri Context triple: [Ferentino, sharesBorderWith, Alatri]
-
A.
Alatri
chosen
Alatri is a historic hill town in Italy’s Lazio region, renowned for its well-preserved ancient polygonal walls and acropolis dating back to the pre-Roman era.
-
B.
Arpino
Arpino is a historic town in central Italy, traditionally known as the birthplace of the Roman statesman Cicero.
-
C.
Arpinum
Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
-
D.
Terracina
Terracina is a historic coastal city in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position on the Tyrrhenian Sea.
-
E.
Mesagne
Mesagne is a historic town in Italy’s Apulia region, known for its well-preserved medieval center and strategic location near Brindisi.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600e6a688190a1243a30ae9b7157 |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c255d8c81908bdac0a28718563e |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 9, 2026, 10:22 p.m.