Triple
T1715937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livy |
E37289
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Patavium |
E178536
|
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: Patavium | Statement: [Livy, deathPlace, Patavium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patavium Context triple: [Livy, deathPlace, Patavium]
-
A.
Patavium
chosen
Patavium is the ancient Roman name for the city now known as Padua in northern Italy, historically an important urban and cultural center of the Veneto region.
-
B.
Clusium
Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
-
C.
Pelenna
Pelenna is a small community and electoral ward located within the county borough of Neath Port Talbot in South Wales.
-
D.
Populonia
Populonia was an important ancient coastal city of Etruria, known for its maritime trade, metalworking, and strategic position on the Tyrrhenian Sea.
-
E.
Norcasia
Norcasia is a small municipality in the Colombian Andes known for its lush natural landscapes and proximity to hydroelectric and ecotourism sites.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6334cd20819086aed7b8adcba4d9 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada97dfb1c819084e750a8550d3e82 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:30 p.m.