Triple
T13307733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Gorizia |
E316978
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mossa
Mossa is a small municipality in northeastern Italy, located in the Friuli Venezia Giulia region near the border with Slovenia.
|
E1032128
|
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: Mossa | Statement: [Province of Gorizia, contains, Mossa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mossa Context triple: [Province of Gorizia, contains, Mossa]
-
A.
Miza
Miza is a dialect of the Moru language spoken by a subset of the Moru people in South Sudan.
-
B.
Mongibello
Mongibello is a traditional name used in Italian and Sicilian contexts to refer to Mount Etna, the large active volcano on the east coast of Sicily.
-
C.
Muchea
Muchea is a small rural locality in Western Australia, north of Perth, known as a junction point for major highways and nearby agricultural areas.
-
D.
Schillaci
Schillaci is an Italian surname most famously associated with former footballer Salvatore Schillaci, who starred as a prolific striker at the 1990 FIFA World Cup.
-
E.
Mormo
Mormo is a female spirit or bogey figure from Greek folklore, often depicted as a child-devouring monster used to frighten children into good behavior.
- 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: Mossa Triple: [Province of Gorizia, contains, Mossa]
Generated description
Mossa is a small municipality in northeastern Italy, located in the Friuli Venezia Giulia region near the border with Slovenia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mossa Target entity description: Mossa is a small municipality in northeastern Italy, located in the Friuli Venezia Giulia region near the border with Slovenia.
-
A.
Miza
Miza is a dialect of the Moru language spoken by a subset of the Moru people in South Sudan.
-
B.
Mongibello
Mongibello is a traditional name used in Italian and Sicilian contexts to refer to Mount Etna, the large active volcano on the east coast of Sicily.
-
C.
Muchea
Muchea is a small rural locality in Western Australia, north of Perth, known as a junction point for major highways and nearby agricultural areas.
-
D.
Schillaci
Schillaci is an Italian surname most famously associated with former footballer Salvatore Schillaci, who starred as a prolific striker at the 1990 FIFA World Cup.
-
E.
Mormo
Mormo is a female spirit or bogey figure from Greek folklore, often depicted as a child-devouring monster used to frighten children into good behavior.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a8be108190bad0021f95ce3a93 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e58cc48190afb46e8394227ab5 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7179da5488190a10acadbf60ea470 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71847e7308190ac6f59a7dcafa452 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 9, 2026, 9:29 p.m.