Triple
T5048827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carpineto Romano |
E113733
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Carpinetani
The Carpinetani are the inhabitants or natives of Carpineto Romano, a town in the Lazio region of central Italy.
|
E488267
|
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: Carpinetani | Statement: [Carpineto Romano, hasDemonym, Carpinetani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carpinetani Context triple: [Carpineto Romano, hasDemonym, Carpinetani]
-
A.
Boselli
Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
-
B.
Petrillo
Petrillo is an Italian-origin surname most notably associated with the fictional character Sophia Petrillo from the television series "The Golden Girls."
-
C.
Orotelli
Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
-
D.
Piovese
Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
-
E.
Piermarini
Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
- 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: Carpinetani Triple: [Carpineto Romano, hasDemonym, Carpinetani]
Generated description
The Carpinetani are the inhabitants or natives of Carpineto Romano, a town in the Lazio region of central Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carpinetani Target entity description: The Carpinetani are the inhabitants or natives of Carpineto Romano, a town in the Lazio region of central Italy.
-
A.
Boselli
Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
-
B.
Petrillo
Petrillo is an Italian-origin surname most notably associated with the fictional character Sophia Petrillo from the television series "The Golden Girls."
-
C.
Orotelli
Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
-
D.
Piovese
Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
-
E.
Piermarini
Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7401419081909ba62b9c27f770c4 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c9305bc8190b323e69c17241ffc |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9d35fd0c819094fc939afeb9f468 |
completed | March 21, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9d968ab88190930fa0c72ee56953 |
completed | March 21, 2026, 1:31 p.m. |
Created at: March 20, 2026, 1:37 p.m.