Triple
T10343324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Domitiana |
E243679
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Liternum |
E212280
|
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: Liternum | Statement: [Via Domitiana, connects, Liternum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liternum Context triple: [Via Domitiana, connects, Liternum]
-
A.
Liternum
chosen
Liternum was an ancient Roman town in Campania, Italy, historically notable as the place where the famed general Scipio Africanus retired and died.
-
B.
Luath
Luath is one of the two philosophizing dogs in Robert Burns’s poem “The Twa Dogs,” representing the perspective of the poor and working class.
-
C.
Lezgin
Lezgin is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan (Russia) and northern Azerbaijan.
-
D.
The Tower of Learning
The Tower of Learning is a prominent educational building, likely serving as a central academic or administrative landmark within an institution such as a university or school.
-
E.
The Light
"The Light" is a song by Sara Bareilles from her album "Kaleidoscope Heart," known for its heartfelt lyrics and piano-driven pop sound.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e92105888190a08104deb9d0cf1c |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75077dfbc81908de29aac1a3bb19f |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:55 a.m.