Triple
T6609034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salford and Eccles (UK Parliament constituency) |
E149189
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Seedley |
E27858
|
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: Seedley | Statement: [Salford and Eccles (UK Parliament constituency), contains, Seedley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seedley Context triple: [Salford and Eccles (UK Parliament constituency), contains, Seedley]
-
A.
Seedley
chosen
Seedley is a residential district within the city of Salford in Greater Manchester, England.
-
B.
Tuff Seed
"Tuff Seed" is a popular reggae/dancehall track by Ghanaian artist Stonebwoy that helped solidify his international recognition.
-
C.
Seed of God
Seed of God is a Quaker term for the divine Inner Light believed to dwell within every person as a direct presence of God.
-
D.
SEED
SEED is a Stanford University institute focused on promoting innovation and entrepreneurship to drive economic development in emerging and developing economies.
-
E.
Abzucht
Abzucht is a small river in Lower Saxony, Germany, that flows through the Harz region and joins the Oker.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af31c4748190ab5027771c9ce5b2 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43cc42081909762eec710773f40 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:57 p.m.