Triple
T28985953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birmingham Hodge Hill |
E734680
|
entity |
| Predicate | hasMPContinuousFrom |
P62087
|
FINISHED |
| Object | 2004 |
—
|
LITERAL 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: 2004 | Statement: [Birmingham Hodge Hill, hasMPContinuousFrom, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMPContinuousFrom Context triple: [Birmingham Hodge Hill, hasMPContinuousFrom, 2004]
-
A.
isContinuous
Indicates that a function, process, or relationship changes smoothly without abrupt jumps or breaks over its domain.
-
B.
hasContinuo
Indicates that a musical work, section, or passage includes a basso continuo part or accompaniment.
-
C.
hasContinuousVersion
Indicates that one entity is a continuous or uninterrupted form, edition, or variant of another entity.
-
D.
hasMP
Indicates that an entity is represented by, or associated with, a specific Member of Parliament (MP).
-
E.
hasRepresentationContinuity
chosen
Indicates that one entity maintains a consistent or continuous representational relationship with another across time, context, or state changes.
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65f7994088190bab22373bcce6847 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:14 a.m.