Triple
T38476963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slums |
E915573
|
entity |
| Predicate | hasMiniMapLayout |
P10827
|
FINISHED |
| Object | symmetrical design |
—
|
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: symmetrical design | Statement: [Slums, hasMiniMapLayout, symmetrical design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMiniMapLayout Context triple: [Slums, hasMiniMapLayout, symmetrical design]
-
A.
hasLayout
chosen
Indicates that one entity defines or is associated with the structural arrangement or organization (layout) of another entity.
-
B.
hasMiniature
Indicates that one entity possesses or includes a smaller-scale representation or model of another entity.
-
C.
hasStandardLayout
Indicates that an entity follows a predefined or commonly accepted arrangement or structure.
-
D.
hasLayoutElement
Indicates that one entity includes, contains, or is associated with a specific layout element as part of its structural or visual arrangement.
-
E.
hasLayComponent
Indicates that an entity includes or is associated with a specific lay (non-professional or non-expert) component as part of its structure or composition.
- 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: May 3, 2026, 4:31 p.m.