Triple
T3274950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Rieti |
E68735
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Configni
Configni is a small Italian municipality in the Lazio region, known for its historic hilltop setting and traditional rural character.
|
E344587
|
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: Configni | Statement: [Province of Rieti, contains, Configni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Configni Context triple: [Province of Rieti, contains, Configni]
-
A.
Koni
Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
-
B.
Nix
Nix is one of Pluto’s small outer moons, an irregularly shaped natural satellite discovered in 2005 that orbits the dwarf planet in a complex, resonant system with its other moons.
-
C.
Konerko
Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
-
D.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
-
E.
Tayasan
Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
- 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: Configni Triple: [Province of Rieti, contains, Configni]
Generated description
Configni is a small Italian municipality in the Lazio region, known for its historic hilltop setting and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Configni Target entity description: Configni is a small Italian municipality in the Lazio region, known for its historic hilltop setting and traditional rural character.
-
A.
Koni
Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
-
B.
Nix
Nix is one of Pluto’s small outer moons, an irregularly shaped natural satellite discovered in 2005 that orbits the dwarf planet in a complex, resonant system with its other moons.
-
C.
Konerko
Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
-
D.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
-
E.
Tayasan
Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff8a440819092509bc8511b2785 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e841d5588190a53ba90a46721b0f |
completed | March 12, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69b2e8b79d308190922a310ff1337eae |
completed | March 12, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2e9ba41948190b9e4f6f54f32603c |
completed | March 12, 2026, 4:28 p.m. |
Created at: March 8, 2026, 3:10 p.m.