Triple
T12832200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris of India |
E306815
|
entity |
| Predicate | comparativeReason |
P51217
|
FINISHED |
| Object | beauty and elegance of the cityscape |
—
|
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: beauty and elegance of the cityscape | Statement: [Paris of India, comparativeReason, beauty and elegance of the cityscape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparativeReason Context triple: [Paris of India, comparativeReason, beauty and elegance of the cityscape]
-
A.
similarityReason
Indicates that there is an identified basis or explanation for why two entities are considered similar.
-
B.
comparisonAspect
chosen
Indicates that two or more entities are being compared specifically with respect to a particular shared attribute or dimension.
-
C.
comparisonType
Indicates the specific kind of comparison being made between two or more values or entities (e.g., equality, inequality, ordering, or similarity).
-
D.
notableComparison
Indicates that one entity is being compared to another in a way that is especially significant, remarkable, or worthy of note.
-
E.
selectionReason
Indicates the reason or justification for choosing or selecting one entity over alternatives.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:34 p.m.