Triple
T27744955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Stanley, 10th Earl of Derby |
E701954
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Knowsley, Lancashire, England
Knowsley, Lancashire, England is a historic village and estate area near Liverpool, noted as the ancestral seat of the Earls of Derby.
|
E1785145
|
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: Knowsley, Lancashire, England | Statement: [James Stanley, 10th Earl of Derby, birthPlace, Knowsley, Lancashire, England]
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: Knowsley, Lancashire, England Triple: [James Stanley, 10th Earl of Derby, birthPlace, Knowsley, Lancashire, England]
Generated description
Knowsley, Lancashire, England is a historic village and estate area near Liverpool, noted as the ancestral seat of the Earls of Derby.
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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63719b84c81909c805036f6717239 |
completed | May 2, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12e47be9a881909c6ebb0a624b57fe |
completed | May 24, 2026, 11:43 a.m. |
| NEDg | Description generation | batch_6a12e528463c819087d479b960e660d2 |
completed | May 24, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12e58a24a08190baec56a49e9f24e8 |
completed | May 24, 2026, 11:48 a.m. |
Created at: April 27, 2026, 4:15 p.m.