Triple
T12010054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleabottom |
E285881
|
entity |
| Predicate | sanitationLevel |
P89306
|
FINISHED |
| Object | very poor |
—
|
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: very poor | Statement: [Fleabottom, sanitationLevel, very poor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sanitationLevel Context triple: [Fleabottom, sanitationLevel, very poor]
-
A.
sanitationInfrastructure
chosen
Indicates the presence, quality, or extent of facilities and systems designed to safely manage human waste and maintain hygienic environmental conditions.
-
B.
sanctioningLevel
Indicates the degree or severity of formal penalties, restrictions, or disciplinary measures imposed in response to a violation or noncompliant behavior.
-
C.
hasAblutionFacilities
Indicates that an entity provides or is equipped with facilities for performing ablution or ritual washing.
-
D.
amenityLevel
Indicates the degree or quality of facilities, services, or conveniences provided in relation to something.
-
E.
housingLevel
Indicates the degree or quality of housing conditions or accommodation available to an entity.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d61a4c81909e6cb6500b61df94 |
completed | April 10, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.