Triple
T23879584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lianyungang Huaguoshan International Airport |
E600161
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Mount Huaguo
Mount Huaguo is a famous scenic mountain in Lianyungang, China, traditionally celebrated as the legendary home of the Monkey King Sun Wukong from the classic novel "Journey to the West."
|
E1639391
|
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: Mount Huaguo | Statement: [Lianyungang Huaguoshan International Airport, namedAfter, Mount Huaguo]
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: Mount Huaguo Triple: [Lianyungang Huaguoshan International Airport, namedAfter, Mount Huaguo]
Generated description
Mount Huaguo is a famous scenic mountain in Lianyungang, China, traditionally celebrated as the legendary home of the Monkey King Sun Wukong from the classic novel "Journey to the West."
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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cc03fdcc8190ad77155ae7e6eda5 |
completed | April 29, 2026, 9:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fee455f14819085f56566fe3d50b8 |
completed | May 22, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_6a0fef9b5d0081909c38c3b72b0d0304 |
completed | May 22, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ff0cc90508190b5d68bedeb4531aa |
completed | May 22, 2026, 5:59 a.m. |
Created at: April 17, 2026, 8:23 p.m.