Triple
T34983616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First-tier Tribunal (Social Security and Child Support) |
E1008881
|
entity |
| Predicate | replaced |
P101
|
FINISHED |
| Object |
Social Security Appeal Tribunals
Social Security Appeal Tribunals were former UK judicial bodies that heard appeals on social security benefit decisions before their functions were transferred to the First-tier Tribunal (Social Security and Child Support).
|
E2119779
|
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: Social Security Appeal Tribunals | Statement: [First-tier Tribunal (Social Security and Child Support), replaced, Social Security Appeal Tribunals]
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: Social Security Appeal Tribunals Triple: [First-tier Tribunal (Social Security and Child Support), replaced, Social Security Appeal Tribunals]
Generated description
Social Security Appeal Tribunals were former UK judicial bodies that heard appeals on social security benefit decisions before their functions were transferred to the First-tier Tribunal (Social Security and Child Support).
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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7849c0c748190977151a817dce560 |
completed | May 3, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37b28222a4819083274fb2c3e40f8e |
completed | June 21, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a37b30dbce8819090cd5023e0bb4279 |
completed | June 21, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37b3e4e4e48190a694902881b3a08f |
completed | June 21, 2026, 9:50 a.m. |
Created at: May 3, 2026, 4:01 p.m.