Triple
T19295212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maison à Bordeaux |
E482544
|
entity |
| Predicate | lowerLevelCharacter |
P135165
|
FINISHED |
| Object | partially buried and introverted |
—
|
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: partially buried and introverted | Statement: [Maison à Bordeaux, lowerLevelCharacter, partially buried and introverted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerLevelCharacter Context triple: [Maison à Bordeaux, lowerLevelCharacter, partially buried and introverted]
-
A.
typicalLowestLevel
Indicates that something represents the most basic or minimal level that is commonly or normally found within a given context.
-
B.
lowerLevelCarries
Indicates that a lower-level component, layer, or entity is responsible for transporting, supporting, or conveying another higher-level entity.
-
C.
lowerStage
Indicates that one entity is at a lower or earlier stage, level, or phase in a progression or hierarchy than another entity.
-
D.
lowerRank
Indicates that one entity holds an inferior or subordinate rank, status, or position relative to another entity.
-
E.
lowerRankDescription
Indicates that one entity holds a lower rank or status in a hierarchy relative to 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc8533c08190822a917ffa32812d |
completed | April 20, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:31 p.m.