Triple
T27648205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R1000V |
E696768
|
entity |
| Predicate | capitalizationFocus |
P171432
|
FINISHED |
| Object | large-cap stocks |
—
|
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: large-cap stocks | Statement: [R1000V, capitalizationFocus, large-cap stocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalizationFocus Context triple: [R1000V, capitalizationFocus, large-cap stocks]
-
A.
capitalizationEffect
Indicates how the use of uppercase and lowercase letters in a word or text influences its interpretation, appearance, or impact.
-
B.
preferredCapitalization
Indicates the specific way a term’s letters should be capitalized when it is written or displayed.
-
C.
capitalizationPolicy
Indicates the rules or conventions governing how letters are capitalized in a given context (e.g., text, names, or identifiers).
-
D.
capitalizationOccursWhen
Indicates that the event or condition specified is the point or circumstance under which capitalization (e.g., converting letters to uppercase or treating something as a capital asset) takes place.
-
E.
capitalizedOn
Indicates that one entity took advantage of, exploited, or made beneficial use of an opportunity, situation, or resource provided or created by another entity.
- 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 27, 2026, 2:30 p.m.