Triple
T35256708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phu Thai |
E1018250
|
entity |
| Predicate | primaryRegionInLaos |
P206893
|
FINISHED |
| Object | Central Laos |
E1038451
|
NE 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: Central Laos | Statement: [Phu Thai, primaryRegionInLaos, Central Laos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRegionInLaos Context triple: [Phu Thai, primaryRegionInLaos, Central Laos]
-
A.
primaryRegionInThailand
Indicates that the subject entity is located in, based in, or primarily associated with a specified region within Thailand.
-
B.
operatorInLaos
Indicates that an operator conducts its operations within the country of Laos.
-
C.
crossingConnectsTownInLaos
Indicates that a particular crossing (such as a border or river crossing) serves as a connection point to a town located in Laos.
-
D.
primaryRegionInBurkinaFaso
Indicates that a region is the main or primary administrative region associated with a given entity within Burkina Faso.
-
E.
ethnonymInLaos
Indicates that a given ethnonym (name of an ethnic group) is used or recognized within the context of Laos.
- F. None of above. chosen
Provenance (5 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380fb25e888190a6bb76576545dfb0 |
completed | June 21, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:02 p.m.