Triple
T33735733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nong Khai–Thanaleng railway |
E864408
|
entity |
| Predicate | operatorInThailand |
P202514
|
FINISHED |
| Object | State Railway of Thailand |
—
|
NE NERFINISHED |
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: State Railway of Thailand | Statement: [Nong Khai–Thanaleng railway, operatorInThailand, State Railway of Thailand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorInThailand Context triple: [Nong Khai–Thanaleng railway, operatorInThailand, State Railway of Thailand]
-
A.
operatorInIndia
Indicates that an entity functions as an operator (such as a service provider or business operator) within the geographical region of India.
-
B.
statusInThailand
Indicates the legal, social, or official standing or condition an entity holds specifically within the context of Thailand.
-
C.
otherOperator
Indicates a relationship where one operator is distinguished from, or serves as an alternative to, another operator within the same context or system.
-
D.
workStatusInThailand
Indicates the current legal or employment status of a person with respect to working in Thailand.
-
E.
primaryRegionInThailand
Indicates that the subject entity is located in, based in, or primarily associated with a specified region within Thailand.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a008c77d4dc8190b342d7407eaf48fa |
completed | May 10, 2026, 1:47 p.m. |
| PD | Predicate disambiguation | batch_6a008c18531c8190bbe883b73e6d023f |
completed | May 10, 2026, 1:46 p.m. |
| PDg | Predicate description generation | batch_6a008c770df481908fe58b265fba06a3 |
completed | May 10, 2026, 1:47 p.m. |
Created at: May 1, 2026, 1:44 a.m.