Triple
T27577684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Going Underground |
E699500
|
entity |
| Predicate | singleNumberOneIn |
P81279
|
FINISHED |
| Object | United Kingdom |
—
|
NE NERFINISHED |
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: United Kingdom | Statement: [Going Underground, singleNumberOneIn, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singleNumberOneIn Context triple: [Going Underground, singleNumberOneIn, United Kingdom]
-
A.
singleWith
Indicates that an entity is unmarried and not currently in a romantic relationship.
-
B.
singleFrom
Indicates that one entity is derived as a single, distinct item from another source or collection.
-
C.
singleBy
Indicates that an entity is not in a romantic relationship and is considered single according to a specified criterion or context.
-
D.
hasNumberOneSingleIn
chosen
Indicates that an entity has achieved at least one number-one single within a specified chart, region, or context.
-
E.
singleType
Indicates that an entity belongs to exactly one specific type or category, with no additional types assigned.
- F. None of above.
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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 2:01 p.m.