Triple
T14111399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferentino |
E339645
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object |
Patrica
Patrica is a small historic hill town in the Lazio region of central Italy, known for its medieval architecture and scenic views over the Sacco Valley.
|
E1082191
|
NE FINISHED |
How this triple was built (4 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: Patrica | Statement: [Ferentino, sharesBorderWith, Patrica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrica Context triple: [Ferentino, sharesBorderWith, Patrica]
-
A.
Patricia
Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
B.
Patty
Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
-
C.
Patricia Grace
Patricia Grace is a pioneering New Zealand Māori writer renowned for her short stories and novels that foreground Māori perspectives and culture.
-
D.
Patricia Rae
Patricia Rae is an American actress best known for her role in the ensemble romantic comedy film "The Big Wedding."
-
E.
Paula
Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Patrica Triple: [Ferentino, sharesBorderWith, Patrica]
Generated description
Patrica is a small historic hill town in the Lazio region of central Italy, known for its medieval architecture and scenic views over the Sacco Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patrica Target entity description: Patrica is a small historic hill town in the Lazio region of central Italy, known for its medieval architecture and scenic views over the Sacco Valley.
-
A.
Patricia
Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
B.
Patty
Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
-
C.
Patricia Grace
Patricia Grace is a pioneering New Zealand Māori writer renowned for her short stories and novels that foreground Māori perspectives and culture.
-
D.
Patricia Rae
Patricia Rae is an American actress best known for her role in the ensemble romantic comedy film "The Big Wedding."
-
E.
Paula
Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
- F. None of above. chosen
Provenance (5 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_69fcdf04871c8190891605415f1abf7f |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce0cc78e881909090ac42a97ebb12 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1f53a8881909fd1258729a9879d |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 9, 2026, 10:22 p.m.