Triple
T16451899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regio IV Samnium |
E399571
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Abellinum
Abellinum was an ancient town of the Samnite and later Roman world in southern Italy, located in the region historically known as Samnium.
|
E1213988
|
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: Abellinum | Statement: [Regio IV Samnium, contains, Abellinum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abellinum Context triple: [Regio IV Samnium, contains, Abellinum]
-
A.
Caelum
Caelum is a small, faint southern constellation introduced in the 18th century, representing a sculptor’s chisel.
-
B.
Arcalod
Arcalod is a prominent mountain peak in the French Alps, known for its rugged limestone cliffs and popularity among experienced hikers and climbers.
-
C.
Erastro
Erastro is a lovesick shepherd in Miguel de Cervantes’ pastoral novel *La Galatea*, embodying the idealized emotional turmoil typical of the genre.
-
D.
Antistia
Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
-
E.
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.
- 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: Abellinum Triple: [Regio IV Samnium, contains, Abellinum]
Generated description
Abellinum was an ancient town of the Samnite and later Roman world in southern Italy, located in the region historically known as Samnium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abellinum Target entity description: Abellinum was an ancient town of the Samnite and later Roman world in southern Italy, located in the region historically known as Samnium.
-
A.
Caelum
Caelum is a small, faint southern constellation introduced in the 18th century, representing a sculptor’s chisel.
-
B.
Arcalod
Arcalod is a prominent mountain peak in the French Alps, known for its rugged limestone cliffs and popularity among experienced hikers and climbers.
-
C.
Erastro
Erastro is a lovesick shepherd in Miguel de Cervantes’ pastoral novel *La Galatea*, embodying the idealized emotional turmoil typical of the genre.
-
D.
Antistia
Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
-
E.
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.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce19344819083d323077b742bc3 |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045979c588190b6f7b249147f3174 |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a00472cdc2881908211045515cd21ee |
completed | May 10, 2026, 8:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0047b4b6688190afef52b39788ceae |
completed | May 10, 2026, 8:54 a.m. |
Created at: April 10, 2026, 5:10 a.m.