Triple
T26073264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irbit |
E657607
|
entity |
| Predicate | fairImportance |
P89351
|
FINISHED |
| Object | second only to Nizhny Novgorod Fair in Imperial Russia |
—
|
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: second only to Nizhny Novgorod Fair in Imperial Russia | Statement: [Irbit, fairImportance, second only to Nizhny Novgorod Fair in Imperial Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fairImportance Context triple: [Irbit, fairImportance, second only to Nizhny Novgorod Fair in Imperial Russia]
-
A.
resultImportance
Indicates that one entity specifies how significant, critical, or impactful the outcome or result of another entity is.
-
B.
peakImportance
Indicates that something reaches or represents the highest level of importance within a given context or timeframe.
-
C.
visualImportance
Indicates how visually prominent or attention‑drawing one entity is relative to others in a given context.
-
D.
forecastImportance
Indicates that something expresses or assigns the level of significance or priority associated with a particular forecast.
-
E.
localImportance
chosen
Indicates that something holds particular significance, influence, or priority within a specific, limited context or area rather than globally.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606ccc3b8819082ca4366aaf48a70 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:31 p.m.