Triple
T5850199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadio San Paolo |
E130008
|
entity |
| Predicate | hasStand |
P6313
|
FINISHED |
| Object |
Curva B
Curva B is a famous end stand in Naples’ main football stadium, renowned as the passionate home of some of S.S.C. Napoli’s most fervent supporters.
|
E553785
|
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: Curva B | Statement: [Stadio San Paolo, hasStand, Curva B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curva B Context triple: [Stadio San Paolo, hasStand, Curva B]
-
A.
Curva A
Curva A is one of the main curved stands behind the goal at Naples’ Stadio San Paolo (now Stadio Diego Armando Maradona), known for housing some of the stadium’s most passionate supporters.
-
B.
Bica
Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
-
C.
Bica
Bica is a historic Lisbon neighborhood known for its steep streets, traditional houses, and the iconic Elevador da Bica funicular.
-
D.
Seča
Seča is a small coastal settlement in southwestern Slovenia, situated near the town of Piran on the Adriatic Sea.
-
E.
Cursa
Cursa is a bright star in the constellation Eridanus, often noted as one of its most prominent and easily visible members.
- 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: Curva B Triple: [Stadio San Paolo, hasStand, Curva B]
Generated description
Curva B is a famous end stand in Naples’ main football stadium, renowned as the passionate home of some of S.S.C. Napoli’s most fervent supporters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Curva B Target entity description: Curva B is a famous end stand in Naples’ main football stadium, renowned as the passionate home of some of S.S.C. Napoli’s most fervent supporters.
-
A.
Curva A
Curva A is one of the main curved stands behind the goal at Naples’ Stadio San Paolo (now Stadio Diego Armando Maradona), known for housing some of the stadium’s most passionate supporters.
-
B.
Bica
Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
-
C.
Bica
Bica is a historic Lisbon neighborhood known for its steep streets, traditional houses, and the iconic Elevador da Bica funicular.
-
D.
Seča
Seča is a small coastal settlement in southwestern Slovenia, situated near the town of Piran on the Adriatic Sea.
-
E.
Cursa
Cursa is a bright star in the constellation Eridanus, often noted as one of its most prominent and easily visible members.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03515dc0c81908797a9713f1a603f |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b1007bbc81908963d3d14c9210c5 |
completed | March 23, 2026, 3:18 a.m. |
| NEDg | Description generation | batch_69c0b1cb731481909de9c3fde3595b7b |
completed | March 23, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b27f53608190b2a1f78e3cd1b634 |
completed | March 23, 2026, 3:24 a.m. |
Created at: March 22, 2026, 3:55 p.m.