Triple
T10744912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parco Archeologico di Sibari |
E253425
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sibari |
E257827
|
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: Sibari | Statement: [Parco Archeologico di Sibari, locatedIn, Sibari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sibari Context triple: [Parco Archeologico di Sibari, locatedIn, Sibari]
-
A.
Sibari
chosen
Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
-
B.
Sibi
Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
-
C.
Bori
Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
-
D.
Sorabi
Sorabi is a traditional Indonesian pancake made from rice flour and coconut milk, commonly enjoyed as a snack or street food.
-
E.
Sambir
Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b6b4b48190bad08500fa963062 |
completed | April 9, 2026, 2:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb0a03a1481908edb933b1613a027 |
completed | April 14, 2026, 9:24 p.m. |
Created at: April 8, 2026, 9:15 p.m.