Triple
T14229273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asculum |
E352707
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Asculum Picenum |
E352707
|
NE FINISHED |
How this triple was built (2 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: Asculum Picenum | Statement: [Asculum, hasAlternativeName, Asculum Picenum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asculum Picenum Context triple: [Asculum, hasAlternativeName, Asculum Picenum]
-
A.
Asculum
chosen
Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
-
B.
Arpinum
Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
-
C.
Ferentinum
Ferentinum was an ancient town in central Italy historically associated with the Hernici people and later integrated into the Roman sphere.
-
D.
Aurunci
The Aurunci were an ancient Italic people of south-central Italy, known from early Roman history and associated with the Oscan-speaking cultural sphere.
-
E.
Vulci
Vulci was an important ancient Etruscan city renowned for its rich tombs, art, and role in Mediterranean trade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622b89fc8190af08dab9e1976759 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2819bfec8190b555632338c53740 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:07 a.m.