Triple
T31610979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSCI USA Value Index |
E806624
|
entity |
| Predicate | usesScreeningCriterion |
P155406
|
FINISHED |
| Object | low price-to-book ratio |
—
|
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: low price-to-book ratio | Statement: [MSCI USA Value Index, usesScreeningCriterion, low price-to-book ratio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesScreeningCriterion Context triple: [MSCI USA Value Index, usesScreeningCriterion, low price-to-book ratio]
-
A.
usesConstituentScreening
chosen
Indicates that one entity employs or applies a specific constituent screening process or method to another entity or set of items.
-
B.
hasScreening
Indicates that one entity conducts, hosts, or is associated with a particular screening event involving another entity.
-
C.
wasScreenedAs
Indicates that an entity was evaluated or tested and classified as a particular role, status, or category during a screening process.
-
D.
hasScreened
Indicates that one entity has shown, displayed, or evaluated another entity, typically in the context of presenting media or conducting a review or check.
-
E.
screeningOutcome
Indicates the result or decision produced by a screening or evaluation process applied to an entity.
- 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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 30, 2026, 10:36 p.m.