Triple
T15003996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smederevo |
E377661
|
entity |
| Predicate | majorIndustrialFacility |
P25392
|
FINISHED |
| Object | steel plant in Smederevo |
—
|
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: steel plant in Smederevo | Statement: [Smederevo, majorIndustrialFacility, steel plant in Smederevo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorIndustrialFacility Context triple: [Smederevo, majorIndustrialFacility, steel plant in Smederevo]
-
A.
hasIndustrialPlant
chosen
Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
-
B.
hasIndustrialSiteIn
Indicates that an entity possesses, operates, or is responsible for an industrial facility located within a specified place or area.
-
C.
mainManufacturingSite
Indicates the primary location where an entity’s products are manufactured or produced.
-
D.
productionFacilityType
Indicates the specific kind or category of facility where production or manufacturing activities take place.
-
E.
mainFacilityConstructed
Indicates that the primary facility associated with an entity has been built or completed.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7312ae48190bdaf91ecced6657e |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:54 a.m.