Triple
T33706384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulsan |
E863602
|
entity |
| Predicate | hasLargestAutomobilePlantOf |
P198739
|
FINISHED |
| Object |
Hyundai Motor Ulsan Plant
Hyundai Motor Ulsan Plant is a massive automotive manufacturing complex in Ulsan, South Korea, recognized as one of the largest car production facilities in the world.
|
E2063751
|
NE FINISHED |
How this triple was built (3 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: Hyundai Motor Ulsan Plant | Statement: [Ulsan, hasLargestAutomobilePlantOf, Hyundai Motor Ulsan Plant]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hyundai Motor Ulsan Plant Triple: [Ulsan, hasLargestAutomobilePlantOf, Hyundai Motor Ulsan Plant]
Generated description
Hyundai Motor Ulsan Plant is a massive automotive manufacturing complex in Ulsan, South Korea, recognized as one of the largest car production facilities in the world.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLargestAutomobilePlantOf Context triple: [Ulsan, hasLargestAutomobilePlantOf, Hyundai Motor Ulsan Plant]
-
A.
hasMajorAutomakerHeadquarters
Indicates that a location serves as the primary corporate headquarters for a major automobile manufacturing company.
-
B.
enteredAutomobileProduction
Indicates that an entity began manufacturing automobiles as a commercial or industrial activity.
-
C.
hasProductionFacilitiesIn
Indicates that an entity operates or owns production facilities located within a specified geographic area or jurisdiction.
-
D.
hasManufacturerHeadquartersIn
Indicates that the location specified is the place where the manufacturer’s main headquarters is situated.
-
E.
automakerParentCompany
Indicates that one company is the parent company of another company that manufactures automobiles.
- F. None of above. chosen
Provenance (7 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a363ca155708190b082e5c8fba84828 |
completed | June 20, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_6a3645cd6ffc8190a83cbf74c3f3a863 |
completed | June 20, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36464b786881909f4bff7db82b05f2 |
completed | June 20, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
| PDg | Predicate description generation | batch_69ff02141dbc8190b00bcea2aa734b3a |
completed | May 9, 2026, 9:44 a.m. |
Created at: May 1, 2026, 1:43 a.m.