Triple
T3469498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcelo Bielsa |
E73218
|
entity |
| Predicate | managedClub |
P3239
|
FINISHED |
| Object |
Lazio
Lazio is a major professional football club based in Rome, Italy, known for competing in Serie A and for its passionate fan base and historic rivalry with AS Roma.
|
E361099
|
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: Lazio | Statement: [Marcelo Bielsa, managedClub, Lazio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lazio Context triple: [Marcelo Bielsa, managedClub, Lazio]
-
A.
Lazio
Lazio is a central Italian region best known for encompassing the nation’s capital, Rome, and its rich historical and cultural heritage.
-
B.
Frosinone
Frosinone is a city in central Italy that serves as the capital of the province of the same name within the Lazio region.
-
C.
Marino, Lazio
Marino, Lazio is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
-
D.
Pomezia
Pomezia is a modern industrial and residential town in the Lazio region of central Italy, situated just south of Rome.
-
E.
Civitavecchia
Civitavecchia is a major Italian port city in the Lazio region that serves as the principal maritime gateway to Rome on the Tyrrhenian coast.
- 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: Lazio Triple: [Marcelo Bielsa, managedClub, Lazio]
Generated description
Lazio is a major professional football club based in Rome, Italy, known for competing in Serie A and for its passionate fan base and historic rivalry with AS Roma.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lazio Target entity description: Lazio is a major professional football club based in Rome, Italy, known for competing in Serie A and for its passionate fan base and historic rivalry with AS Roma.
-
A.
Lazio
Lazio is a central Italian region best known for encompassing the nation’s capital, Rome, and its rich historical and cultural heritage.
-
B.
Frosinone
Frosinone is a city in central Italy that serves as the capital of the province of the same name within the Lazio region.
-
C.
Marino, Lazio
Marino, Lazio is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
-
D.
Pomezia
Pomezia is a modern industrial and residential town in the Lazio region of central Italy, situated just south of Rome.
-
E.
Civitavecchia
Civitavecchia is a major Italian port city in the Lazio region that serves as the principal maritime gateway to Rome on the Tyrrhenian coast.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb376d288190abac85f2ffa853dc |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680a23e0819088851295a605a085 |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b369b68900819086028b16657c6dc9 |
completed | March 13, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36a08cff08190897adaa51f32df4a |
completed | March 13, 2026, 1:36 a.m. |
Created at: March 8, 2026, 3:17 p.m.