Triple
T25371202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Assembly (after 1932) |
E632934
|
entity |
| Predicate | laterNameOfCountry |
P168534
|
FINISHED |
| Object | 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: Thailand | Statement: [National Assembly (after 1932), laterNameOfCountry, Thailand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterNameOfCountry Context triple: [National Assembly (after 1932), laterNameOfCountry, Thailand]
-
A.
previousNameOfCountry
Indicates that one country name was formerly used as the official name of another country.
-
B.
originalCountryNowKnownAs
Indicates that a country previously known by one name is now recognized under a different current country name.
-
C.
countryAfterSuccession
Indicates that one country is the successor state that takes over from another country after a political or territorial succession.
-
D.
countryAfterReform
Indicates that one country entity represents the state of that country after a specified reform or transformation has taken place.
-
E.
countrySucceededBy
Indicates that one country is the direct successor state that replaces or follows another country in sovereignty or political continuity.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 21, 2026, 1:38 p.m.