Triple
T24918419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Incheon District Court branches |
E624052
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object |
Namdong District, Incheon
Namdong District is a major administrative district in the southeastern part of Incheon, South Korea, known for housing the city’s government complex and various commercial and residential areas.
|
E1710320
|
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: Namdong District, Incheon | Statement: [Incheon District Court branches, regionServed, Namdong District, Incheon]
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: Namdong District, Incheon Triple: [Incheon District Court branches, regionServed, Namdong District, Incheon]
Generated description
Namdong District is a major administrative district in the southeastern part of Incheon, South Korea, known for housing the city’s government complex and various commercial and residential areas.
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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f4238e43c08190be03e813b8cdfe28 |
completed | May 1, 2026, 3:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1127185bb4819088a46534740ed77f |
completed | May 23, 2026, 4:03 a.m. |
| NEDg | Description generation | batch_6a1134849eac8190a0f80898df1ae20c |
completed | May 23, 2026, 5 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11350decb88190b61a8491db612650 |
completed | May 23, 2026, 5:03 a.m. |
Created at: April 18, 2026, 5:28 a.m.