Triple
T923277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortune Global 500 |
E19928
|
entity |
| Predicate | secondaryMetric |
P21576
|
FINISHED |
| Object | profits |
—
|
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: profits | Statement: [Fortune Global 500, secondaryMetric, profits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryMetric Context triple: [Fortune Global 500, secondaryMetric, profits]
-
A.
secondaryGoal
Indicates that something serves as a subordinate or supporting objective in addition to a primary goal.
-
B.
secondaryPosition
Indicates that an entity holds an additional, non-primary role, location, or status alongside its main one.
-
C.
secondaryFunction
Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
-
D.
secondaryHub
Indicates that an entity functions as a secondary or backup hub in relation to a primary hub within a network or system.
-
E.
secondTier
Indicates that something occupies a secondary or subordinate level of importance, quality, or rank relative to a primary or top tier.
- F. None of above. chosen
Provenance (4 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b314f6fc81908a3ccc2e741e3c2b |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b295b02481908e5f53bfcb83cc94 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b30efd2c8190b780a6dee086d0aa |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:40 p.m.