Triple
T8533388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ourense |
E202011
|
entity |
| Predicate | hasThermalArea |
P6822
|
FINISHED |
| Object |
As Burgas
As Burgas is a historic thermal spring complex in the city of Ourense, Spain, known for its hot mineral waters and public baths.
|
E741889
|
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: As Burgas | Statement: [Ourense, hasThermalArea, As Burgas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: As Burgas Context triple: [Ourense, hasThermalArea, As Burgas]
-
A.
Balchik
Balchik is a coastal town and resort on the Black Sea in northeastern Bulgaria, known for its picturesque cliffs, botanical garden, and the former Romanian Queen Marie’s palace.
-
B.
Sozopol
Sozopol is an ancient coastal town and popular seaside resort on Bulgaria’s Black Sea coast, known for its historic architecture and maritime heritage.
-
C.
Bay of Nessebar
The Bay of Nessebar is a coastal inlet on Bulgaria’s Black Sea shore, known for encompassing the historic town and UNESCO World Heritage site of Nessebar.
-
D.
Varna
Varna is a major Bulgarian city on the Black Sea coast known as an important economic, cultural, and maritime center.
-
E.
Silistra
Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
- 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: As Burgas Triple: [Ourense, hasThermalArea, As Burgas]
Generated description
As Burgas is a historic thermal spring complex in the city of Ourense, Spain, known for its hot mineral waters and public baths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: As Burgas Target entity description: As Burgas is a historic thermal spring complex in the city of Ourense, Spain, known for its hot mineral waters and public baths.
-
A.
Balchik
Balchik is a coastal town and resort on the Black Sea in northeastern Bulgaria, known for its picturesque cliffs, botanical garden, and the former Romanian Queen Marie’s palace.
-
B.
Sozopol
Sozopol is an ancient coastal town and popular seaside resort on Bulgaria’s Black Sea coast, known for its historic architecture and maritime heritage.
-
C.
Bay of Nessebar
The Bay of Nessebar is a coastal inlet on Bulgaria’s Black Sea shore, known for encompassing the historic town and UNESCO World Heritage site of Nessebar.
-
D.
Varna
Varna is a major Bulgarian city on the Black Sea coast known as an important economic, cultural, and maritime center.
-
E.
Silistra
Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe678fe448190a50c6b0d149b081f |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d7aa3a881909bfdd3536dbc4ec7 |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ee1bae4819099ef302138599b34 |
completed | April 2, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fb93fd88190bc53a925473f9b71 |
completed | April 2, 2026, 1:31 p.m. |
Created at: March 30, 2026, 6:17 p.m.