Triple
T6614313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nani |
E149309
|
entity |
| Predicate | youthClub |
P1088
|
FINISHED |
| Object |
Real Massamá
Real Massamá is a Portuguese football club known for its youth academy that helped develop players such as winger Nani.
|
E601027
|
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: Real Massamá | Statement: [Nani, youthClub, Real Massamá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Real Massamá Context triple: [Nani, youthClub, Real Massamá]
-
A.
Rossio
Rossio is a central Lisbon square and major transport hub known for its historic architecture, lively atmosphere, and role as a key meeting point in the city.
-
B.
Massa
Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
-
C.
Massa
Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
-
D.
Massa
Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
-
E.
Masa
Masa is a Central Chadic language spoken primarily in parts of Cameroon and Chad.
- 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: Real Massamá Triple: [Nani, youthClub, Real Massamá]
Generated description
Real Massamá is a Portuguese football club known for its youth academy that helped develop players such as winger Nani.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Real Massamá Target entity description: Real Massamá is a Portuguese football club known for its youth academy that helped develop players such as winger Nani.
-
A.
Rossio
Rossio is a central Lisbon square and major transport hub known for its historic architecture, lively atmosphere, and role as a key meeting point in the city.
-
B.
Massa
Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
-
C.
Massa
Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
-
D.
Massa
Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
-
E.
Masa
Masa is a Central Chadic language spoken primarily in parts of Cameroon and Chad.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af569ecc8190a9526decc745f0a0 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbd651c08190a19513645fc781c9 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd89b51c81909ea17d391732630e |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce70442c8190a12a6c6eb76c5269 |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 1:57 p.m.