Triple
T5882546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istitut Ladin Micurà de Rü |
E130782
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Micurà de Rü
Micurà de Rü was a Ladin priest and pioneering linguist known for his foundational work in studying and standardizing the Ladin language.
|
E553055
|
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: Micurà de Rü | Statement: [Istitut Ladin Micurà de Rü, namedAfter, Micurà de Rü]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Micurà de Rü Context triple: [Istitut Ladin Micurà de Rü, namedAfter, Micurà de Rü]
-
A.
Micalet
Micalet is the iconic Gothic bell tower of Valencia Cathedral and one of the most recognizable landmarks in the city of Valencia, Spain.
-
B.
Maruggio
Maruggio is a small historic town and coastal municipality in the Apulia region of southern Italy, known for its traditional architecture and proximity to the Ionian Sea.
-
C.
Montenars
Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
-
D.
Munxar
Munxar is a small village on the island of Gozo in Malta, known for its rural character and scenic coastal surroundings.
-
E.
Jincamocco
Jincamocco is an important archaeological site associated with the Wari Empire, reflecting the political and cultural influence of this pre-Inca Andean civilization.
- 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: Micurà de Rü Triple: [Istitut Ladin Micurà de Rü, namedAfter, Micurà de Rü]
Generated description
Micurà de Rü was a Ladin priest and pioneering linguist known for his foundational work in studying and standardizing the Ladin language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Micurà de Rü Target entity description: Micurà de Rü was a Ladin priest and pioneering linguist known for his foundational work in studying and standardizing the Ladin language.
-
A.
Micalet
Micalet is the iconic Gothic bell tower of Valencia Cathedral and one of the most recognizable landmarks in the city of Valencia, Spain.
-
B.
Maruggio
Maruggio is a small historic town and coastal municipality in the Apulia region of southern Italy, known for its traditional architecture and proximity to the Ionian Sea.
-
C.
Montenars
Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
-
D.
Munxar
Munxar is a small village on the island of Gozo in Malta, known for its rural character and scenic coastal surroundings.
-
E.
Jincamocco
Jincamocco is an important archaeological site associated with the Wari Empire, reflecting the political and cultural influence of this pre-Inca Andean civilization.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03673ecd88190978993056b675259 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b13330c88190b10f33843f10f51f |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b2442bf881908aeaecb46463e32d |
completed | March 23, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b2bc8b9c8190ab642d317056b1de |
completed | March 23, 2026, 3:25 a.m. |
Created at: March 22, 2026, 3:57 p.m.