Triple
T31612947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mold, Flintshire |
E806673
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
Mold Rugby Football Club
Mold Rugby Football Club is a Welsh rugby union club based in the town of Mold, Flintshire, competing in regional leagues and serving as a community hub for local players and supporters.
|
E1968603
|
NE FINISHED |
How this triple was built (2 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: Mold Rugby Football Club | Statement: [Mold, Flintshire, hasSportsClub, Mold Rugby Football Club]
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: Mold Rugby Football Club Triple: [Mold, Flintshire, hasSportsClub, Mold Rugby Football Club]
Generated description
Mold Rugby Football Club is a Welsh rugby union club based in the town of Mold, Flintshire, competing in regional leagues and serving as a community hub for local players and supporters.
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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8a7bb6c819082c576bf21a6efe4 |
completed | May 3, 2026, 1:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b566319a08190ab371092cb695bb8 |
completed | June 12, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a2b5858068081908f55d292d9cf99d3 |
completed | June 12, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b59296e788190a762da61d0b14ab6 |
completed | June 12, 2026, 12:56 a.m. |
Created at: April 30, 2026, 10:37 p.m.