Triple
T13470256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacydon |
E311610
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Massalia |
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: Massalia | Statement: [Lacydon, associatedWith, Massalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massalia Context triple: [Lacydon, associatedWith, Massalia]
-
A.
Massilia
chosen
Massilia was the ancient Greek colony and major Mediterranean trading port that later became the modern French city of Marseille.
-
B.
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.
-
C.
Agde
Agde is a historic coastal commune in southern France known for its ancient Greek origins and location along the Mediterranean Sea and the Hérault River.
-
D.
Burdigala
Burdigala was the ancient Roman-era city in Gaul that later became modern-day Bordeaux, an important commercial and cultural center.
-
E.
Thysdrus
Thysdrus was an important Roman-era city in present-day El Jem, Tunisia, known for its prosperity and monumental amphitheatre.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf21e46081908a00c9acf54f270f |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7462bcb848190804a48f1a50a0c71 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.