Triple
T3402633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aniene |
E71691
|
entity |
| Predicate | latinName |
P3646
|
FINISHED |
| Object |
Anio
Anio is the Latin name for the Aniene, a river in central Italy that flows through the Lazio region and joins the Tiber near Rome.
|
E356125
|
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: Anio | Statement: [Aniene, latinName, Anio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anio Context triple: [Aniene, latinName, Anio]
-
A.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
B.
Antistia
Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
-
C.
Assante
Assante is the surname of Armand Assante, an American actor known for his intense screen presence and roles in films and television dramas.
-
D.
Vesali
Vesali was an ancient city that served as a major early capital and cultural center of the Arakan (Rakhine) region in present-day Myanmar.
-
E.
Teos
Teos was an ancient Ionian Greek city on the western coast of Asia Minor, known as the hometown of the lyric poet Anacreon.
- 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: Anio Triple: [Aniene, latinName, Anio]
Generated description
Anio is the Latin name for the Aniene, a river in central Italy that flows through the Lazio region and joins the Tiber near Rome.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anio Target entity description: Anio is the Latin name for the Aniene, a river in central Italy that flows through the Lazio region and joins the Tiber near Rome.
-
A.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
B.
Antistia
Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
-
C.
Assante
Assante is the surname of Armand Assante, an American actor known for his intense screen presence and roles in films and television dramas.
-
D.
Vesali
Vesali was an ancient city that served as a major early capital and cultural center of the Arakan (Rakhine) region in present-day Myanmar.
-
E.
Teos
Teos was an ancient Ionian Greek city on the western coast of Asia Minor, known as the hometown of the lyric poet Anacreon.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8e78ec8819089417666dc29f412 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bd4d02881909c365e054148ae8c |
completed | March 12, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69b34e4792608190b74e02e065d4bc68 |
completed | March 12, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3525f44948190af72b177193edca4 |
completed | March 12, 2026, 11:55 p.m. |
Created at: March 8, 2026, 3:14 p.m.