Triple
T24775320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weiwuying Station |
E619844
|
entity |
| Predicate | hasNearbyFacility |
P5648
|
FINISHED |
| Object |
Republic of China Army Infantry School (Weiwuying)
The Republic of China Army Infantry School (Weiwuying) is a major Taiwanese military training institution specializing in the education and development of army infantry personnel.
|
E1650613
|
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: Republic of China Army Infantry School (Weiwuying) | Statement: [Weiwuying Station, hasNearbyFacility, Republic of China Army Infantry School (Weiwuying)]
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: Republic of China Army Infantry School (Weiwuying) Triple: [Weiwuying Station, hasNearbyFacility, Republic of China Army Infantry School (Weiwuying)]
Generated description
The Republic of China Army Infantry School (Weiwuying) is a major Taiwanese military training institution specializing in the education and development of army infantry personnel.
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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410d246ac8190b7c45f6682c16bfb |
completed | May 1, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a101c1ceba4819089fb250980bf2424 |
completed | May 22, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_6a10248751648190aabfa72ad8ab0b3f |
completed | May 22, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10258f82b4819095231c1c9398b2c8 |
completed | May 22, 2026, 9:44 a.m. |
Created at: April 18, 2026, 4:34 a.m.