Triple
T3464991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Andrew's Stadium |
E73114
|
entity |
| Predicate | hasStand |
P6313
|
FINISHED |
| Object |
Kop Stand
Kop Stand is a prominent spectator stand at St Andrew's Stadium, home of Birmingham City Football Club.
|
E358328
|
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: Kop Stand | Statement: [St Andrew's Stadium, hasStand, Kop Stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kop Stand Context triple: [St Andrew's Stadium, hasStand, Kop Stand]
-
A.
Bar Kosiba
Bar Kosiba is another name for Simon bar Kokhba, the Jewish military leader who led the Bar Kokhba revolt against the Roman Empire in the 2nd century CE.
-
B.
Steenberg
Steenberg is a suburb in Cape Town, South Africa, situated near the Pollsmoor maximum-security prison.
-
C.
Kubban
Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
-
D.
Kamieskroon
Kamieskroon is a small town in South Africa’s Northern Cape, known as a gateway to the wildflower displays and rugged landscapes of the Namaqualand region.
-
E.
The Stump
The Stump is the popular nickname for the towering parish church of St Botolph in Boston, Lincolnshire, renowned for its massive, landmark tower visible for miles across the flat surrounding landscape.
- 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: Kop Stand Triple: [St Andrew's Stadium, hasStand, Kop Stand]
Generated description
Kop Stand is a prominent spectator stand at St Andrew's Stadium, home of Birmingham City Football Club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kop Stand Target entity description: Kop Stand is a prominent spectator stand at St Andrew's Stadium, home of Birmingham City Football Club.
-
A.
Bar Kosiba
Bar Kosiba is another name for Simon bar Kokhba, the Jewish military leader who led the Bar Kokhba revolt against the Roman Empire in the 2nd century CE.
-
B.
Steenberg
Steenberg is a suburb in Cape Town, South Africa, situated near the Pollsmoor maximum-security prison.
-
C.
Kubban
Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
-
D.
Kamieskroon
Kamieskroon is a small town in South Africa’s Northern Cape, known as a gateway to the wildflower displays and rugged landscapes of the Namaqualand region.
-
E.
The Stump
The Stump is the popular nickname for the towering parish church of St Botolph in Boston, Lincolnshire, renowned for its massive, landmark tower visible for miles across the flat surrounding landscape.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb0dc100819084bb0c355c7bb15b |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3612720308190b5a0d943a754883f |
completed | March 13, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69b361c3f7508190aacfc24528546614 |
completed | March 13, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3624afd088190883f14c1b17421af |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:17 p.m.