Triple
T15557340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quad Cities (Iowa portion) |
E370903
|
entity |
| Predicate | containsMajorPortionOf |
P9506
|
FINISHED |
| Object | Davenport urban core |
—
|
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: Davenport urban core | Statement: [Quad Cities (Iowa portion), containsMajorPortionOf, Davenport urban core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMajorPortionOf Context triple: [Quad Cities (Iowa portion), containsMajorPortionOf, Davenport urban core]
-
A.
containsPortionOf
Indicates that one entity includes or holds a part, segment, or fraction of another entity.
-
B.
containsMostOf
chosen
Indicates that one entity includes the majority (but not necessarily all) of the substance, elements, or components of another entity.
-
C.
hasMajorComponent
Indicates that one entity includes another entity as a primary or most significant component or part.
-
D.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of another entity.
-
E.
majorSegmentOf
Indicates that one entity constitutes a principal or most significant part of another larger whole.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a97dbfc8190a98cbbac5e71ba88 |
completed | April 16, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:09 a.m.