Triple
T7994005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montella |
E186077
|
entity |
| Predicate | isLocatedNear |
P350
|
FINISHED |
| Object |
Nusco
Nusco is a small historic town in the Campania region of southern Italy, known for its medieval architecture and scenic hilltop setting.
|
E703793
|
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: Nusco | Statement: [Montella, isLocatedNear, Nusco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nusco Context triple: [Montella, isLocatedNear, Nusco]
-
A.
Malesco
Malesco is a small municipality in the Piedmont region of northern Italy, located in the mountainous Verbano-Cusio-Ossola province near the Swiss border.
-
B.
Noresco
Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
-
C.
Brupass
Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
-
D.
Nuska
Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
-
E.
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
- 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: Nusco Triple: [Montella, isLocatedNear, Nusco]
Generated description
Nusco is a small historic town in the Campania region of southern Italy, known for its medieval architecture and scenic hilltop setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nusco Target entity description: Nusco is a small historic town in the Campania region of southern Italy, known for its medieval architecture and scenic hilltop setting.
-
A.
Malesco
Malesco is a small municipality in the Piedmont region of northern Italy, located in the mountainous Verbano-Cusio-Ossola province near the Swiss border.
-
B.
Noresco
Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
-
C.
Brupass
Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
-
D.
Nuska
Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
-
E.
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c73ba388190bcedc29fbdd22f3c |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe105d400819096ba271416bb24e7 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe440a66c8190a5d5b417fb5082b7 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc338a1c48819086ece073e04e8fa6 |
completed | March 31, 2026, 8:50 p.m. |
Created at: March 30, 2026, 5:16 p.m.