Triple
T20755158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castleford Tigers |
E510825
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Cas
Cas is a common shorthand nickname for the Castleford Tigers, a professional rugby league club based in Castleford, West Yorkshire, England.
|
E1330052
|
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: Cas | Statement: [Castleford Tigers, nickname, Cas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cas Context triple: [Castleford Tigers, nickname, Cas]
-
A.
Cas
Cas is the standard astronomical abbreviation for the northern constellation Cassiopeia.
-
B.
Cas
Cas is a central character in the Canadian film "Cas and Dylan," portrayed as a solitary, terminally ill doctor whose life is upended by an unexpected road trip with a young aspiring writer.
-
C.
Sac
Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
-
D.
CasCor
CasCor is a neural network learning algorithm that incrementally builds its architecture by adding new hidden units to improve performance during training.
-
E.
CAZ
CAZ is the station code for Ciudad Azteca, a terminal station on Line B of the Mexico City Metro system.
- 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: Cas Triple: [Castleford Tigers, nickname, Cas]
Generated description
Cas is a common shorthand nickname for the Castleford Tigers, a professional rugby league club based in Castleford, West Yorkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cas Target entity description: Cas is a common shorthand nickname for the Castleford Tigers, a professional rugby league club based in Castleford, West Yorkshire, England.
-
A.
Cas
Cas is a central character in the Canadian film "Cas and Dylan," portrayed as a solitary, terminally ill doctor whose life is upended by an unexpected road trip with a young aspiring writer.
-
B.
Cas
chosen
Cas is the standard astronomical abbreviation for the northern constellation Cassiopeia.
-
C.
Sac
Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
-
D.
CasCor
CasCor is a neural network learning algorithm that incrementally builds its architecture by adding new hidden units to improve performance during training.
-
E.
CAZ
CAZ is the station code for Ciudad Azteca, a terminal station on Line B of the Mexico City Metro system.
- F. None of above.
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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22e0d288190ba924423af59d70d |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e8489c188190a79c573f8470445c |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e9a399f88190aab9e52277113271 |
completed | May 16, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08ea0f4b60819093de46bd7543df38 |
completed | May 16, 2026, 10:05 p.m. |
Created at: April 16, 2026, 12:34 p.m.