Triple
T3346395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mestalla Stadium |
E70383
|
entity |
| Predicate | hasStand |
P6313
|
FINISHED |
| Object |
Gol Norte stand
Gol Norte stand is the north-end spectator section of Valencia CF’s Mestalla Stadium, known for housing some of the club’s most passionate supporters.
|
E350387
|
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: Gol Norte stand | Statement: [Mestalla Stadium, hasStand, Gol Norte stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gol Norte stand Context triple: [Mestalla Stadium, hasStand, Gol Norte stand]
-
A.
Gol Sud
Gol Sud is the southern stand of FC Barcelona's Camp Nou stadium, traditionally home to some of the club’s most passionate supporters.
-
B.
Gol Gol
Gol Gol is a small town in southwestern New South Wales, Australia, situated on the Murray River near Mildura in the Sunraysia agricultural region.
-
C.
Northstar
Northstar is a commuter rail service in Minnesota that connects downtown Minneapolis with its northwestern suburbs and exurban communities.
-
D.
Sørenga terminal
Sørenga terminal is a key cargo and logistics facility within the Port of Oslo, handling maritime freight operations for the Norwegian capital.
-
E.
Golo
Golo is a masculine given name most notably borne by the German historian and essayist Golo Mann.
- 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: Gol Norte stand Triple: [Mestalla Stadium, hasStand, Gol Norte stand]
Generated description
Gol Norte stand is the north-end spectator section of Valencia CF’s Mestalla Stadium, known for housing some of the club’s most passionate supporters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gol Norte stand Target entity description: Gol Norte stand is the north-end spectator section of Valencia CF’s Mestalla Stadium, known for housing some of the club’s most passionate supporters.
-
A.
Gol Sud
Gol Sud is the southern stand of FC Barcelona's Camp Nou stadium, traditionally home to some of the club’s most passionate supporters.
-
B.
Gol Gol
Gol Gol is a small town in southwestern New South Wales, Australia, situated on the Murray River near Mildura in the Sunraysia agricultural region.
-
C.
Northstar
Northstar is a commuter rail service in Minnesota that connects downtown Minneapolis with its northwestern suburbs and exurban communities.
-
D.
Sørenga terminal
Sørenga terminal is a key cargo and logistics facility within the Port of Oslo, handling maritime freight operations for the Norwegian capital.
-
E.
Golo
Golo is a masculine given name most notably borne by the German historian and essayist Golo Mann.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f4ff888190bf14b9b7fbe9bcee |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32522cbc88190b965087a580d7acf |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b325a0de7c8190a33ae611b8450b5a |
completed | March 12, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b326862e848190bf1bea74b6ab0b36 |
completed | March 12, 2026, 8:48 p.m. |
Created at: March 8, 2026, 3:12 p.m.