Triple
T2043452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucania |
E45396
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Venusia
Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
|
E227686
|
NE FINISHED |
How this triple was built (4 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: Venusia | Statement: [Lucania, majorCity, Venusia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venusia Context triple: [Lucania, majorCity, Venusia]
-
A.
Venera
Venera is a grade or class within the Mexican Order of the Aztec Eagle, the country’s highest distinction awarded to foreigners.
-
B.
Platform of Venus
The Platform of Venus is a pre-Columbian Maya ceremonial structure at Chichén Itzá, likely associated with astronomical observations and rituals linked to the planet Venus.
-
C.
Philyra
Philyra is an Oceanid nymph in Greek mythology best known as the mother of the centaur Chiron.
-
D.
Urana
Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
-
E.
Veii
Veii was a major ancient Etruscan city in central Italy, known for its wealth, strategic importance, and eventual conquest by Rome in 396 BCE.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Venusia Triple: [Lucania, majorCity, Venusia]
Generated description
Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Venusia Target entity description: Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
-
A.
Venera
Venera is a grade or class within the Mexican Order of the Aztec Eagle, the country’s highest distinction awarded to foreigners.
-
B.
Platform of Venus
The Platform of Venus is a pre-Columbian Maya ceremonial structure at Chichén Itzá, likely associated with astronomical observations and rituals linked to the planet Venus.
-
C.
Philyra
Philyra is an Oceanid nymph in Greek mythology best known as the mother of the centaur Chiron.
-
D.
Urana
Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
-
E.
Veii
Veii was a major ancient Etruscan city in central Italy, known for its wealth, strategic importance, and eventual conquest by Rome in 396 BCE.
- F. None of above. chosen
Provenance (5 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1ffe98248190b6a4428c6c094d35 |
completed | March 9, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69ae204fe6148190915219beb27128bc |
completed | March 9, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae20d09c748190aebbfb88f0eedbaa |
completed | March 9, 2026, 1:22 a.m. |
Created at: March 4, 2026, 7:39 p.m.