Triple
T8479590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laem Chabang |
E200481
|
entity |
| Predicate | majorTradeRole |
P82842
|
FINISHED |
| Object | export of manufactured goods |
—
|
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: export of manufactured goods | Statement: [Laem Chabang, majorTradeRole, export of manufactured goods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorTradeRole Context triple: [Laem Chabang, majorTradeRole, export of manufactured goods]
-
A.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
-
B.
majorTradingCompany
Indicates that the subject is a principal or highly significant company engaged in large-scale trading activities with the object.
-
C.
historicTradeRole
Indicates that an entity historically functioned as a significant participant or hub in trade or commercial exchange.
-
D.
commercialRole
Indicates that an entity holds a position or function related to commercial activities, such as sales, marketing, or business development, in relation to another entity.
-
E.
majorExport
Indicates that something is a primary or significant export product or resource of a given entity (such as a country or region).
- F. None of above. chosen
Provenance (4 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5232d008190ae55b982f5fc9e8b |
completed | March 31, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69cbd104250c8190b4c499dcc9937494 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:12 p.m.