Triple
T5600400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akshata Murty |
E147103
|
entity |
| Predicate | hasNetWorthRanking |
P25601
|
FINISHED |
| Object | among wealthiest women in the United Kingdom |
—
|
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: among wealthiest women in the United Kingdom | Statement: [Akshata Murty, hasNetWorthRanking, among wealthiest women in the United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNetWorthRanking Context triple: [Akshata Murty, hasNetWorthRanking, among wealthiest women in the United Kingdom]
-
A.
adjustedWealthRanking
Indicates a comparative ordering of entities based on their wealth after applying specified adjustments or normalization factors.
-
B.
isHighRanking
Indicates that an entity holds a position of relatively great authority, status, or seniority within a hierarchy or organization.
-
C.
hasRankingUnit
Indicates that one entity is associated with a specific unit or scale used to express its ranking or ordered position.
-
D.
wealthRanking
chosen
Indicates the relative ordering of entities based on their level of wealth or financial resources.
-
E.
hasRankingCategory
Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020d936dc8190a2e599f1df9fdd91 |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.