Triple
T4152902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Prespa |
E89947
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Mal Grad
Mal Grad is a small, historically significant island in Lake Prespa known for its medieval church and archaeological remains.
|
E417354
|
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: Mal Grad | Statement: [Lake Prespa, hasIsland, Mal Grad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mal Grad Context triple: [Lake Prespa, hasIsland, Mal Grad]
-
A.
Pulaski
Pulaski is a Chicago Transit Authority Blue Line rapid transit station serving the city's West Side.
-
B.
Cross of Sacrifice
The Cross of Sacrifice is a Commonwealth war memorial design featuring a tall stone cross with a bronze sword, erected in military cemeteries to honor fallen service members.
-
C.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
-
D.
Tredozio
Tredozio is a small Italian municipality in the Emilia-Romagna region, known for its scenic Apennine landscapes and traditional local festivals.
-
E.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
- 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: Mal Grad Triple: [Lake Prespa, hasIsland, Mal Grad]
Generated description
Mal Grad is a small, historically significant island in Lake Prespa known for its medieval church and archaeological remains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mal Grad Target entity description: Mal Grad is a small, historically significant island in Lake Prespa known for its medieval church and archaeological remains.
-
A.
Pulaski
Pulaski is a Chicago Transit Authority Blue Line rapid transit station serving the city's West Side.
-
B.
Cross of Sacrifice
The Cross of Sacrifice is a Commonwealth war memorial design featuring a tall stone cross with a bronze sword, erected in military cemeteries to honor fallen service members.
-
C.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
-
D.
Tredozio
Tredozio is a small Italian municipality in the Emilia-Romagna region, known for its scenic Apennine landscapes and traditional local festivals.
-
E.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0277a910819085cde5df9a8110d8 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f399c748190a87ca2a824dbfbca |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b580260a588190a2e1a84513a8c72f |
completed | March 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b580c46e7481908aa13c6d7c6e36de |
completed | March 14, 2026, 3:37 p.m. |
Created at: March 9, 2026, 3:44 p.m.