Triple
T31274281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorasan Observatory |
E797473
|
entity |
| Predicate | hasNearbyLandmark |
P2064
|
FINISHED |
| Object |
Unification Village
Unification Village is a small South Korean settlement near the Demilitarized Zone known for symbolizing hopes for Korean reunification and for its tightly controlled, militarized surroundings.
|
E1954193
|
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: Unification Village | Statement: [Dorasan Observatory, hasNearbyLandmark, Unification Village]
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: Unification Village Triple: [Dorasan Observatory, hasNearbyLandmark, Unification Village]
Generated description
Unification Village is a small South Korean settlement near the Demilitarized Zone known for symbolizing hopes for Korean reunification and for its tightly controlled, militarized surroundings.
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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dd07c548190b5e13567568d7049 |
completed | May 3, 2026, 12:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a296c050a4c81909023b1c0bc4ca460 |
completed | June 10, 2026, 1:52 p.m. |
| NEDg | Description generation | batch_6a297030ba3481909ffb0a9664b27919 |
completed | June 10, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a29a767f82c8190a66ce069aaa3e6bf |
completed | June 10, 2026, 6:05 p.m. |
Created at: April 29, 2026, 9:13 p.m.