Triple
T9544158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell 2000 Index |
E230238
|
entity |
| Predicate | rankInUniverseBySize |
P1174
|
FINISHED |
| Object | bottom 2000 companies by market capitalization |
—
|
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: bottom 2000 companies by market capitalization | Statement: [Russell 2000 Index, rankInUniverseBySize, bottom 2000 companies by market capitalization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInUniverseBySize Context triple: [Russell 2000 Index, rankInUniverseBySize, bottom 2000 companies by market capitalization]
-
A.
rankBySizeInWorld
Indicates that entities are ordered according to their relative size within the context of the entire world.
-
B.
rankingInCountryBySize
Indicates the position of an entity in an ordered list of entities within a specific country, based on their relative size.
-
C.
regionRankBySize
Indicates the relative ordering of regions based on their physical size, from largest to smallest (or vice versa).
-
D.
rankBySize
chosen
Indicates that entities are ordered or compared based on their size.
-
E.
relativeSizeToEarth
Indicates the comparative size of an entity when measured relative to the size of Earth.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98ebd4148190b71b134d7545fe35 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:01 p.m.