Triple
T8833225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burgas Province |
E210197
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ruen
Ruen is a small town and administrative center in southeastern Bulgaria known for its ethnically diverse population and rural surroundings.
|
E760000
|
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: Ruen | Statement: [Burgas Province, contains, Ruen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruen Context triple: [Burgas Province, contains, Ruen]
-
A.
Rutulian
A Rutulian is a member of an ancient Italic people from Latium in Roman mythology and legend, notably associated with the warrior Turnus in Virgil’s Aeneid.
-
B.
Ripuarian
Ripuarian is a group of closely related West Central German dialects spoken primarily in the Cologne region and surrounding areas along the Rhine.
-
C.
Arebhashe
Arebhashe is a Dravidian language variety spoken primarily by Gowda communities in parts of Karnataka and Kerala in southwestern India.
-
D.
Limba
The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
-
E.
Svear
Svear were an ancient North Germanic people of central Sweden who formed a core part of the early Swedish kingdom.
- 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: Ruen Triple: [Burgas Province, contains, Ruen]
Generated description
Ruen is a small town and administrative center in southeastern Bulgaria known for its ethnically diverse population and rural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruen Target entity description: Ruen is a small town and administrative center in southeastern Bulgaria known for its ethnically diverse population and rural surroundings.
-
A.
Rutulian
A Rutulian is a member of an ancient Italic people from Latium in Roman mythology and legend, notably associated with the warrior Turnus in Virgil’s Aeneid.
-
B.
Ripuarian
Ripuarian is a group of closely related West Central German dialects spoken primarily in the Cologne region and surrounding areas along the Rhine.
-
C.
Arebhashe
Arebhashe is a Dravidian language variety spoken primarily by Gowda communities in parts of Karnataka and Kerala in southwestern India.
-
D.
Limba
The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
-
E.
Svear
Svear were an ancient North Germanic people of central Sweden who formed a core part of the early Swedish kingdom.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60670fa48190b2a873f6498de7f6 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf8975a6f481908ee435d0435c8ffb |
completed | April 3, 2026, 9:33 a.m. |
| NEDg | Description generation | batch_69cf8a8e5db0819080e6fdc3d8322e94 |
completed | April 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8b8849ec8190915fa087b1b46c18 |
completed | April 3, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:47 p.m.