Triple
T99793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chase Manhattan Bank |
E2015
|
entity |
| Predicate | relativeSize |
P1174
|
FINISHED |
| Object | one of the largest banks in the United States |
—
|
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: one of the largest banks in the United States | Statement: [Chase Manhattan Bank, relativeSize, one of the largest banks in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeSize Context triple: [Chase Manhattan Bank, relativeSize, one of the largest banks in the United States]
-
A.
magnitudeScale
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
-
B.
rankBySize
chosen
Indicates that entities are ordered or compared based on their size.
-
C.
aspectRatio
Indicates the proportional relationship between an entity’s width and its height.
-
D.
typicalHeight
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
-
E.
width
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a253b95d4c81909d1f2bc37e799c44 |
completed | Feb. 28, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69a24ebfc5a88190bdd1653b9fa541fe |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.