Triple
T22931410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sassolungo |
E569448
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Punta Est
Punta Est is a prominent eastern peak within the Sassolungo mountain group in the Dolomites of northern Italy.
|
E1566373
|
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: Punta Est | Statement: [Sassolungo, hasPart, Punta Est]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Punta Est Context triple: [Sassolungo, hasPart, Punta Est]
-
A.
Punta Sal
Punta Sal is a popular beach resort area in northern Peru known for its long sandy shores, warm waters, and relaxed coastal atmosphere.
-
B.
Punta Ovest
Punta Ovest is a prominent western peak of the Sassolungo mountain group in the Dolomites of northern Italy.
-
C.
Punta Sur
Punta Sur is a scenic coastal area on the southern tip of Isla Mujeres in Mexico, known for its dramatic cliffs, lighthouse, Mayan temple ruins, and sunrise views over the Caribbean Sea.
-
D.
Punta Prima
Punta Prima is a coastal resort area on the southeastern tip of Menorca, Spain, known for its sandy beach and clear Mediterranean waters.
-
E.
Punta Suárez
Punta Suárez is a renowned wildlife-rich headland on Española Island in the Galápagos, famous for its seabird colonies, marine iguanas, and dramatic coastal scenery.
- 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: Punta Est Triple: [Sassolungo, hasPart, Punta Est]
Generated description
Punta Est is a prominent eastern peak within the Sassolungo mountain group in the Dolomites of northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Punta Est Target entity description: Punta Est is a prominent eastern peak within the Sassolungo mountain group in the Dolomites of northern Italy.
-
A.
Punta Sal
Punta Sal is a popular beach resort area in northern Peru known for its long sandy shores, warm waters, and relaxed coastal atmosphere.
-
B.
Punta Ovest
Punta Ovest is a prominent western peak of the Sassolungo mountain group in the Dolomites of northern Italy.
-
C.
Punta Sur
Punta Sur is a scenic coastal area on the southern tip of Isla Mujeres in Mexico, known for its dramatic cliffs, lighthouse, Mayan temple ruins, and sunrise views over the Caribbean Sea.
-
D.
Punta Prima
Punta Prima is a coastal resort area on the southeastern tip of Menorca, Spain, known for its sandy beach and clear Mediterranean waters.
-
E.
Punta Suárez
Punta Suárez is a renowned wildlife-rich headland on Española Island in the Galápagos, famous for its seabird colonies, marine iguanas, and dramatic coastal scenery.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813260608190bb9e1ca704c7e12f |
completed | April 29, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf294e4308190bf7c7ae15c6be18d |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bf8da93088190b8ab796b480dbb57 |
completed | May 19, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bf93439f081908ff213cea5d217ae |
completed | May 19, 2026, 5:46 a.m. |
Created at: April 17, 2026, 3:44 p.m.