Triple
T8754436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nizhny Novgorod Fair |
E208038
|
entity |
| Predicate | goodsTraded |
P26480
|
FINISHED |
| Object | grain |
—
|
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: grain | Statement: [Nizhny Novgorod Fair, goodsTraded, grain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goodsTraded Context triple: [Nizhny Novgorod Fair, goodsTraded, grain]
-
A.
productsTraded
chosen
Indicates that one entity exchanges or deals specific goods or commodities with another entity.
-
B.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
-
C.
sharesTradedFor
Indicates that shares of one entity are exchanged or traded in return for another asset, security, or form of consideration.
-
D.
hasTrade
Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
-
E.
typicalGoodsSold
Indicates the kinds of goods or products that an entity most commonly or characteristically sells.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dd83088819082cf54adc0c04243 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:39 p.m.