Triple
T2769696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enna |
E61423
|
entity |
| Predicate | ancientName |
P2834
|
FINISHED |
| Object | Enna (Latin) |
E61423
|
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: Enna (Latin) | Statement: [Enna, ancientName, Enna (Latin)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enna (Latin) Context triple: [Enna, ancientName, Enna (Latin)]
-
A.
Enna
chosen
Enna is a historic hilltop city in central Sicily, Italy, known for its elevated position and panoramic views over the island.
-
B.
Sol (Latin)
Sol (Latin) is the personification of the Sun in Roman mythology, often depicted as a solar deity driving a chariot across the sky.
-
C.
Ennia
Ennia was a former Dutch insurance company that later became part of Aegon through a merger.
-
D.
Ennia
Ennia is a historical figure known as the founder of the ancient city of Aegon.
-
E.
Latin Aegidius
Latin Aegidius is a Latin given name, historically associated with Saint Giles, from which the name "Gil" is etymologically derived.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd690b24819095647dd4a4f902bb |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc04dc7808190bb8425ed87cf74c0 |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.