Triple
T14816458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Ham United Women |
E348329
|
entity |
| Predicate | professionalEraBegan |
P27785
|
FINISHED |
| Object | late 2010s |
—
|
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: late 2010s | Statement: [West Ham United Women, professionalEraBegan, late 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalEraBegan Context triple: [West Ham United Women, professionalEraBegan, late 2010s]
-
A.
professionalEra
chosen
Indicates the time period during which an entity was active in a professional capacity within a given field or role.
-
B.
startTimeOfProfessionalCareer
Indicates the point in time when an individual’s professional career formally begins.
-
C.
refersToEraOfCareer
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
-
D.
professionalMMAStartYear
Indicates the calendar year in which an individual began competing in professional mixed martial arts.
-
E.
professionalName
Indicates the formal name or title an entity uses in a professional or occupational context.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:49 a.m.