Triple
T15381776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budjak |
E367820
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Sarata
Sarata is a small town in the Budjak region of southwestern Ukraine, historically known for its diverse ethnic communities and agricultural surroundings.
|
E1153790
|
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: Sarata | Statement: [Budjak, containsCity, Sarata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarata Context triple: [Budjak, containsCity, Sarata]
-
A.
Ramara
Ramara is a rural township in Simcoe County, Ontario, Canada, known for its waterfront communities and recreational access to Lake Simcoe and Lake Couchiching.
-
B.
Savadatti
Savadatti is a historic town in Karnataka, India, known for its ancient temples and hilltop fort.
-
C.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
D.
Saartha
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
-
E.
Satna
Satna is a prominent industrial and commercial city in central India, known especially for its large cement factories and strategic location in Madhya Pradesh.
- 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: Sarata Triple: [Budjak, containsCity, Sarata]
Generated description
Sarata is a small town in the Budjak region of southwestern Ukraine, historically known for its diverse ethnic communities and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarata Target entity description: Sarata is a small town in the Budjak region of southwestern Ukraine, historically known for its diverse ethnic communities and agricultural surroundings.
-
A.
Ramara
Ramara is a rural township in Simcoe County, Ontario, Canada, known for its waterfront communities and recreational access to Lake Simcoe and Lake Couchiching.
-
B.
Savadatti
Savadatti is a historic town in Karnataka, India, known for its ancient temples and hilltop fort.
-
C.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
D.
Saartha
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
-
E.
Satna
Satna is a prominent industrial and commercial city in central India, known especially for its large cement factories and strategic location in Madhya Pradesh.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e61928c81908852c355d537ed9c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b5bc43c81908ffdb7819e3660d9 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0c1171d4819099e0d0e1411059b2 |
completed | May 9, 2026, 10:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff10a360f8819098c8c9700b062478 |
completed | May 9, 2026, 10:46 a.m. |
Created at: April 10, 2026, 3:19 a.m.