Triple
T17325452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tandil |
E420674
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Monte Calvario
Monte Calvario is a prominent religious hill and pilgrimage site in Tandil, Argentina, known for its Stations of the Cross and panoramic city views.
|
E1263455
|
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: Monte Calvario | Statement: [Tandil, hasAttraction, Monte Calvario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Calvario Context triple: [Tandil, hasAttraction, Monte Calvario]
-
A.
Monte Rey
Monte Rey is an otter character known by the shortened name "Monte Rey."
-
B.
Monte Amaro
Monte Amaro is a prominent peak in Italy’s Apennine Mountains, known for its rugged limestone landscapes and popularity among hikers and mountaineers.
-
C.
Monte Caslano
Monte Caslano is a prominent forested hill and natural landmark on the shores of Lake Lugano in the Swiss canton of Ticino, known for its scenic hiking trails and panoramic views.
-
D.
Monte Castelo
Monte Castelo is a municipality in the state of Santa Catarina in southern Brazil, known for its rural landscape and small-town character.
-
E.
Monte Cavo
Monte Cavo is a prominent volcanic peak in central Italy that forms part of the Alban Hills and has historically served as a strategic and religious site.
- 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: Monte Calvario Triple: [Tandil, hasAttraction, Monte Calvario]
Generated description
Monte Calvario is a prominent religious hill and pilgrimage site in Tandil, Argentina, known for its Stations of the Cross and panoramic city views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monte Calvario Target entity description: Monte Calvario is a prominent religious hill and pilgrimage site in Tandil, Argentina, known for its Stations of the Cross and panoramic city views.
-
A.
Monte Rey
Monte Rey is an otter character known by the shortened name "Monte Rey."
-
B.
Monte Amaro
Monte Amaro is a prominent peak in Italy’s Apennine Mountains, known for its rugged limestone landscapes and popularity among hikers and mountaineers.
-
C.
Monte Caslano
Monte Caslano is a prominent forested hill and natural landmark on the shores of Lake Lugano in the Swiss canton of Ticino, known for its scenic hiking trails and panoramic views.
-
D.
Monte Castelo
Monte Castelo is a municipality in the state of Santa Catarina in southern Brazil, known for its rural landscape and small-town character.
-
E.
Monte Cavo
Monte Cavo is a prominent volcanic peak in central Italy that forms part of the Alban Hills and has historically served as a strategic and religious site.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d24e548190a766dd246a4d63d4 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4c2dc08190b60982abc9ac7c9c |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018f2358b481908226aa84a7bd9d7f |
completed | May 11, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0190125abc8190ad4d1f500e3513b3 |
completed | May 11, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:43 a.m.