Triple
T2376691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pannonia |
E46213
|
entity |
| Predicate | importantCity |
P3940
|
FINISHED |
| Object |
Emona
Emona was an ancient Roman city located on the site of present-day Ljubljana, serving as a key urban and military center in the province of Pannonia.
|
E261601
|
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: Emona | Statement: [Pannonia, importantCity, Emona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emona Context triple: [Pannonia, importantCity, Emona]
-
A.
Salona
Salona was an important ancient Roman city on the Adriatic coast, serving as the chief urban center of the province of Dalmatia in present-day Croatia.
-
B.
Skorba
Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
-
C.
Dubrovno
Dubrovno is a small town in eastern Belarus, historically part of the Russian Empire and home to a significant Jewish community in the 19th and early 20th centuries.
-
D.
Motya
Motya was an important ancient Phoenician island city and trading hub located off the western coast of Sicily.
-
E.
Limonar
Limonar is a municipality in western Cuba known for its agricultural activities and location within Matanzas Province.
- 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: Emona Triple: [Pannonia, importantCity, Emona]
Generated description
Emona was an ancient Roman city located on the site of present-day Ljubljana, serving as a key urban and military center in the province of Pannonia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emona Target entity description: Emona was an ancient Roman city located on the site of present-day Ljubljana, serving as a key urban and military center in the province of Pannonia.
-
A.
Salona
Salona was an important ancient Roman city on the Adriatic coast, serving as the chief urban center of the province of Dalmatia in present-day Croatia.
-
B.
Skorba
Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
-
C.
Dubrovno
Dubrovno is a small town in eastern Belarus, historically part of the Russian Empire and home to a significant Jewish community in the 19th and early 20th centuries.
-
D.
Motya
Motya was an important ancient Phoenician island city and trading hub located off the western coast of Sicily.
-
E.
Limonar
Limonar is a municipality in western Cuba known for its agricultural activities and location within Matanzas Province.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc794eee481908163148e1e666d9b |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8ac3e80819099065f874f9dc25d |
completed | March 9, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69aeabd9a5a08190a2c6699576e36c46 |
completed | March 9, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aead3299c88190af03577eef126387 |
completed | March 9, 2026, 11:21 a.m. |
Created at: March 4, 2026, 7:57 p.m.