Triple
T28050305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Section of Tokyo Stock Exchange |
E708800
|
entity |
| Predicate | marketCapitalizationLevel |
P155394
|
FINISHED |
| Object | large |
—
|
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 | Statement: [First Section of Tokyo Stock Exchange, marketCapitalizationLevel, large]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketCapitalizationLevel Context triple: [First Section of Tokyo Stock Exchange, marketCapitalizationLevel, large]
-
A.
marketCapitalizationRange
Indicates the range within which an entity’s total market capitalization value falls.
-
B.
marketCapSegment
chosen
Indicates the classification of an entity based on the size of its market capitalization (e.g., small-cap, mid-cap, large-cap).
-
C.
marketCapRank
Indicates the relative position of an entity in terms of its market capitalization compared to other entities.
-
D.
marketCapExposure
Indicates the degree to which an entity’s value, performance, or risk is influenced by the market capitalization of the assets or securities it is associated with.
-
E.
isLargeCap
Indicates that an entity (typically a company or stock) belongs to the large-capitalization category based on its market value.
- 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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 8:32 p.m.