Triple
T3559613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inter Milan |
E75303
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Inter
Inter is a major Italian professional football club based in Milan, renowned for its domestic and international successes, including multiple Serie A and UEFA Champions League titles.
|
E370543
|
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: Inter | Statement: [Inter Milan, shortName, Inter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inter Context triple: [Inter Milan, shortName, Inter]
-
A.
Ins
Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
-
B.
Ent
Ent is a surname most notably associated with Uzal G. Ent, a senior officer in the United States Army Air Forces during World War II.
-
C.
Intra
Intra is a town in northern Italy on the western shore of Lake Maggiore, now part of the municipality of Verbania.
-
D.
It
It is a 1986 horror novel by Stephen King about a shape-shifting entity that terrorizes children in the town of Derry, Maine.
-
E.
IN
IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
- 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: Inter Triple: [Inter Milan, shortName, Inter]
Generated description
Inter is a major Italian professional football club based in Milan, renowned for its domestic and international successes, including multiple Serie A and UEFA Champions League titles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inter Target entity description: Inter is a major Italian professional football club based in Milan, renowned for its domestic and international successes, including multiple Serie A and UEFA Champions League titles.
-
A.
Ins
Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
-
B.
Ent
Ent is a surname most notably associated with Uzal G. Ent, a senior officer in the United States Army Air Forces during World War II.
-
C.
Intra
Intra is a town in northern Italy on the western shore of Lake Maggiore, now part of the municipality of Verbania.
-
D.
It
It is a 1986 horror novel by Stephen King about a shape-shifting entity that terrorizes children in the town of Derry, Maine.
-
E.
IN
IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc089270c81908bc200c84fe1592e |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb9de4bc8190ba5d111465e66cf8 |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bf85f4f881908bfd2dcfaa3537af |
completed | March 13, 2026, 7:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3fb35c3a08190b50c87923037ee07 |
completed | March 13, 2026, 11:55 a.m. |
Created at: March 8, 2026, 3:20 p.m.