Triple
T3932070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marrucini |
E90816
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object |
Aternus
Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
|
E399570
|
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: Aternus | Statement: [Marrucini, river, Aternus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aternus Context triple: [Marrucini, river, Aternus]
-
A.
Teurnia
Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
-
B.
Aegitna
Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
-
C.
Malthace
Malthace was a wife of Herod the Great and the mother of several of his children, including Herod Antipas, placing her within the Herodian royal family of Judea.
-
D.
El-Aurian
El-Aurians are a long-lived, empathic listener species in the Star Trek universe, best known through the character Guinan and their near-extinction by the Borg.
-
E.
Ochtum
The Ochtum is a river in northwestern Germany that flows through Lower Saxony and Bremen before joining the Weser.
- 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: Aternus Triple: [Marrucini, river, Aternus]
Generated description
Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aternus Target entity description: Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
-
A.
Teurnia
Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
-
B.
Aegitna
Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
-
C.
Malthace
Malthace was a wife of Herod the Great and the mother of several of his children, including Herod Antipas, placing her within the Herodian royal family of Judea.
-
D.
El-Aurian
El-Aurians are a long-lived, empathic listener species in the Star Trek universe, best known through the character Guinan and their near-extinction by the Borg.
-
E.
Ochtum
The Ochtum is a river in northwestern Germany that flows through Lower Saxony and Bremen before joining the Weser.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedaaf3c881909539831bf3a8bf10 |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52887d4a48190b51df3f51ff197c0 |
completed | March 14, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69b529a1486881908ff348558199232b |
completed | March 14, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52a43c6f081908366d9848728f98a |
completed | March 14, 2026, 9:28 a.m. |
Created at: March 9, 2026, 3:23 p.m.