Triple
T1389218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P Global 1200 |
E29914
|
entity |
| Predicate | methodologyType |
P28210
|
FINISHED |
| Object | rules-based index methodology |
—
|
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: rules-based index methodology | Statement: [S&P Global 1200, methodologyType, rules-based index methodology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodologyType Context triple: [S&P Global 1200, methodologyType, rules-based index methodology]
-
A.
disciplinaryMethod
Indicates a method or approach used to discipline, correct, or control another party’s behavior.
-
B.
researchApproach
Indicates the methodological strategy or set of methods used to conduct and structure a research activity or investigation.
-
C.
interpretationMethod
Indicates the method, technique, or process used to interpret or derive meaning from something.
-
D.
assessmentMethod
Indicates the method or procedure used to evaluate, measure, or judge something.
-
E.
philosophicalMethod
Indicates the method, approach, or technique used in conducting philosophical inquiry or reasoning.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c35ce48c81909aaad7dfa2df63fa |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4beffcf808190ab4cd0271257ce63 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c2f16ae081908c92792253f3eb4b |
completed | March 1, 2026, 10:51 p.m. |
Created at: March 1, 2026, 7:59 p.m.