Triple
T3596594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradford City A.F.C. |
E76154
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
City
City is the commonly used short name for Bradford City A.F.C., an English professional football club based in Bradford, West Yorkshire.
|
E372447
|
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: City | Statement: [Bradford City A.F.C., shortName, City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Context triple: [Bradford City A.F.C., shortName, City]
-
A.
City
"City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
-
B.
CITY
CITY is the radio callsign used by KLM Cityhopper, the regional subsidiary of Dutch airline KLM.
-
C.
Cities
Cities is a critically acclaimed 2007 studio album by American rock band Anberlin, known for its emotive lyrics and expansive alternative rock sound.
-
D.
Urban
Urban is a common surname of various linguistic origins, notably borne by New Zealand actor Karl Urban.
-
E.
City East
City East is a central Adelaide campus of the University of South Australia, known for its focus on health, biomedical, and clinical education and research.
- 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: City Triple: [Bradford City A.F.C., shortName, City]
Generated description
City is the commonly used short name for Bradford City A.F.C., an English professional football club based in Bradford, West Yorkshire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: City Target entity description: City is the commonly used short name for Bradford City A.F.C., an English professional football club based in Bradford, West Yorkshire.
-
A.
City
"City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
-
B.
CITY
CITY is the radio callsign used by KLM Cityhopper, the regional subsidiary of Dutch airline KLM.
-
C.
Cities
Cities is a critically acclaimed 2007 studio album by American rock band Anberlin, known for its emotive lyrics and expansive alternative rock sound.
-
D.
Urban
Urban is a common surname of various linguistic origins, notably borne by New Zealand actor Karl Urban.
-
E.
City East
City East is a central Adelaide campus of the University of South Australia, known for its focus on health, biomedical, and clinical education and research.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19b26bc8190b3cc0613a1a98361 |
completed | March 8, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b403130cf081909bb90800d7dc2d6f |
completed | March 13, 2026, 12:29 p.m. |
| NEDg | Description generation | batch_69b40e244db08190bbe9053619820ae8 |
completed | March 13, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b42d8084c88190a2aae4a883d050a0 |
completed | March 13, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:22 p.m.