Triple
T24196273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khmer Republic |
E599843
|
entity |
| Predicate | flag |
P401
|
FINISHED |
| Object |
Flag of the Khmer Republic
The Flag of the Khmer Republic was the national flag used by Cambodia’s republican government from 1970 to 1975, featuring a red field with a stylized white depiction of Angkor Wat at its center.
|
E1635229
|
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: Flag of the Khmer Republic | Statement: [Khmer Republic, flag, Flag of the Khmer Republic]
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: Flag of the Khmer Republic Triple: [Khmer Republic, flag, Flag of the Khmer Republic]
Generated description
The Flag of the Khmer Republic was the national flag used by Cambodia’s republican government from 1970 to 1975, featuring a red field with a stylized white depiction of Angkor Wat at its center.
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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e24ad83c819084ac9e34d2cc2120 |
completed | April 29, 2026, 10:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fe3415db88190830fd5abdf002f89 |
completed | May 22, 2026, 5:01 a.m. |
| NEDg | Description generation | batch_6a0fe4f9f0448190bbd9e0b860335482 |
completed | May 22, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0fe620e40c81909973369ffb8e9dfc |
completed | May 22, 2026, 5:14 a.m. |
Created at: April 17, 2026, 11:36 p.m.