Triple
T3274930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Rieti |
E68735
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Varco Sabino
Varco Sabino is a small municipality in the Lazio region of central Italy, situated in the mountainous area of the Province of Rieti.
|
E344574
|
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: Varco Sabino | Statement: [Province of Rieti, contains, Varco Sabino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varco Sabino Context triple: [Province of Rieti, contains, Varco Sabino]
-
A.
Lalo
Lalo is a common Spanish nickname for the given name Eduardo.
-
B.
Pancho
Pancho is a common Spanish nickname typically used as a familiar or affectionate form of the given name Francisco.
-
C.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
D.
Zhuri James
Zhuri James is the youngest child and only daughter of NBA superstar LeBron James, known to the public through her appearances in media and her family's social platforms.
-
E.
Sabetzki
Sabetzki is a German surname most notably associated with Günther Sabetzki, a prominent ice hockey executive and former president of the International Ice Hockey Federation.
- 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: Varco Sabino Triple: [Province of Rieti, contains, Varco Sabino]
Generated description
Varco Sabino is a small municipality in the Lazio region of central Italy, situated in the mountainous area of the Province of Rieti.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varco Sabino Target entity description: Varco Sabino is a small municipality in the Lazio region of central Italy, situated in the mountainous area of the Province of Rieti.
-
A.
Lalo
Lalo is a common Spanish nickname for the given name Eduardo.
-
B.
Pancho
Pancho is a common Spanish nickname typically used as a familiar or affectionate form of the given name Francisco.
-
C.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
D.
Zhuri James
Zhuri James is the youngest child and only daughter of NBA superstar LeBron James, known to the public through her appearances in media and her family's social platforms.
-
E.
Sabetzki
Sabetzki is a German surname most notably associated with Günther Sabetzki, a prominent ice hockey executive and former president of the International Ice Hockey Federation.
- 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.