Triple
T16451875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regio IV Samnium |
E399571
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Allifae |
E222906
|
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: Allifae | Statement: [Regio IV Samnium, contains, Allifae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allifae Context triple: [Regio IV Samnium, contains, Allifae]
-
A.
Allifae
chosen
Allifae was an ancient Samnite town in south-central Italy, known from Roman-era sources and archaeological remains.
-
B.
Afif
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
-
C.
Anif
Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
-
D.
Allada
Allada was a precolonial West African kingdom in present-day Benin that became an important Aja state and regional trading center before being absorbed by the expanding Kingdom of Dahomey.
-
E.
Alixan
Alixan is a commune in southeastern France, near Valence in the Drôme department, known for hosting the Valence TGV high-speed rail station.
- 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_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. |
Created at: April 10, 2026, 5:10 a.m.