Triple
T16448497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prato allo Stelvio |
E399492
|
entity |
| Predicate | bordersWith |
P224
|
FINISHED |
| Object |
Tubre
Tubre is a small municipality in South Tyrol in northern Italy, located near the Swiss border in the Alps.
|
E1213204
|
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: Tubre | Statement: [Prato allo Stelvio, bordersWith, Tubre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tubre Context triple: [Prato allo Stelvio, bordersWith, Tubre]
-
A.
Espalion
Espalion is a picturesque commune in southern France’s Aveyron department, known for its historic architecture and scenic riverside setting in the Lot Valley.
-
B.
Solunto
Solunto is an ancient Hellenistic-Roman city in northern Sicily, known for its well-preserved archaeological remains overlooking the Tyrrhenian Sea.
-
C.
Sanxenxo
Sanxenxo is a popular coastal resort town in the province of Pontevedra, Galicia, Spain, known for its beaches and tourism.
-
D.
Huéscar
Huéscar is a historic town and municipality in the province of Granada in Andalusia, southern Spain.
-
E.
Miragoâne
Miragoâne is a coastal city in southwestern Haiti that serves as an important regional port and administrative center.
- 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: Tubre Triple: [Prato allo Stelvio, bordersWith, Tubre]
Generated description
Tubre is a small municipality in South Tyrol in northern Italy, located near the Swiss border in the Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tubre Target entity description: Tubre is a small municipality in South Tyrol in northern Italy, located near the Swiss border in the Alps.
-
A.
Espalion
Espalion is a picturesque commune in southern France’s Aveyron department, known for its historic architecture and scenic riverside setting in the Lot Valley.
-
B.
Solunto
Solunto is an ancient Hellenistic-Roman city in northern Sicily, known for its well-preserved archaeological remains overlooking the Tyrrhenian Sea.
-
C.
Sanxenxo
Sanxenxo is a popular coastal resort town in the province of Pontevedra, Galicia, Spain, known for its beaches and tourism.
-
D.
Huéscar
Huéscar is a historic town and municipality in the province of Granada in Andalusia, southern Spain.
-
E.
Miragoâne
Miragoâne is a coastal city in southwestern Haiti that serves as an important regional port and administrative center.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdee44c8190ae0df20c58ff7558 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004594a4508190be08f3acfff36ab0 |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a0046833e208190a0e1e37fc24c09e0 |
completed | May 10, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00471604f88190b7cc58a77b861585 |
completed | May 10, 2026, 8:51 a.m. |
Created at: April 10, 2026, 5:10 a.m.