Triple
T28373983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 十堰市人民政府 |
E718705
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
十堰市民政局
十堰市民政局是负责十堰市社会救助、社会福利、基层政权和社区建设、婚姻登记、殡葬管理等民政事务的市级政府职能部门。
|
E1815247
|
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: 十堰市民政局 | Statement: [十堰市人民政府, hasDivision, 十堰市民政局]
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: 十堰市民政局 Triple: [十堰市人民政府, hasDivision, 十堰市民政局]
Generated description
十堰市民政局是负责十堰市社会救助、社会福利、基层政权和社区建设、婚姻登记、殡葬管理等民政事务的市级政府职能部门。
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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c5c0ba081908d836393db68b842 |
completed | May 2, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1627d7983c8190aa0aac8255cddaab |
completed | May 26, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_6a162923e55481909c09ac79ce541641 |
completed | May 26, 2026, 11:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1629baced481908056a997a85a1b84 |
completed | May 26, 2026, 11:16 p.m. |
Created at: April 28, 2026, 1:01 a.m.