Triple
T5932708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Agrippa |
E131973
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Massilia |
E73569
|
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: Massilia | Statement: [Via Agrippa, connects, Massilia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massilia Context triple: [Via Agrippa, connects, Massilia]
-
A.
Massilia
chosen
Massilia was the ancient Greek colony and major Mediterranean trading port that later became the modern French city of Marseille.
-
B.
Thugga
Thugga is an ancient Roman-Berber city in modern-day Tunisia renowned for its well-preserved ruins and status as a UNESCO World Heritage Site.
-
C.
Narbo Martius
Narbo Martius was an important Roman colony and commercial hub in southern Gaul, located near the Mediterranean coast in what is now Narbonne, France.
-
D.
Thysdrus
Thysdrus was an important Roman-era city in present-day El Jem, Tunisia, known for its prosperity and monumental amphitheatre.
-
E.
Burdigala
Burdigala was the ancient Roman-era city in Gaul that later became modern-day Bordeaux, an important commercial and cultural center.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389df18c81909027a9db7596f0c1 |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c064d2a4819096085668182cfde1 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4 p.m.