Triple
T13710096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Fermo |
E328747
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Altidona
Altidona is a small historic town in Italy’s Marche region, known for its medieval architecture and scenic position near the Adriatic coast.
|
E1056455
|
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: Altidona | Statement: [Province of Fermo, contains, Altidona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altidona Context triple: [Province of Fermo, contains, Altidona]
-
A.
Alidoro
Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
-
B.
Aegiale
Aegiale is a figure from Greek mythology, known as one of the Heliades, the daughters of the sun god Helios.
-
C.
Antistia
Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
-
D.
Aternus
Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
-
E.
Tarichaea
Tarichaea was an ancient fortified town on the western shore of the Sea of Galilee, known as a major center of Jewish resistance during the First Jewish–Roman War.
- 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: Altidona Triple: [Province of Fermo, contains, Altidona]
Generated description
Altidona is a small historic town in Italy’s Marche region, known for its medieval architecture and scenic position near the Adriatic coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altidona Target entity description: Altidona is a small historic town in Italy’s Marche region, known for its medieval architecture and scenic position near the Adriatic coast.
-
A.
Alidoro
Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
-
B.
Aegiale
Aegiale is a figure from Greek mythology, known as one of the Heliades, the daughters of the sun god Helios.
-
C.
Antistia
Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
-
D.
Aternus
Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
-
E.
Tarichaea
Tarichaea was an ancient fortified town on the western shore of the Sea of Galilee, known as a major center of Jewish resistance during the First Jewish–Roman War.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d52b3708190ae0945e65b271556 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79df2984c8190bed380102ade0725 |
completed | May 3, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79e7d50a88190b2a90094dd6d48ad |
completed | May 3, 2026, 7:14 p.m. |
Created at: April 9, 2026, 9:54 p.m.