Triple
T24347696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mokpo |
E613689
|
entity |
| Predicate | hasFerryRoutesTo |
P1737
|
FINISHED |
| Object |
Heuksando
Heuksando is a remote South Korean island in the Yellow Sea, known for its rugged natural scenery, fishing communities, and role as a gateway to Dadohaehaesang National Park.
|
E1633270
|
NE FINISHED |
How this triple was built (3 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: Heuksando | Statement: [Mokpo, hasFerryRoutesTo, Heuksando]
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: Heuksando Triple: [Mokpo, hasFerryRoutesTo, Heuksando]
Generated description
Heuksando is a remote South Korean island in the Yellow Sea, known for its rugged natural scenery, fishing communities, and role as a gateway to Dadohaehaesang National Park.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFerryRoutesTo Context triple: [Mokpo, hasFerryRoutesTo, Heuksando]
-
A.
hasFerryService
chosen
Indicates that there is an operational ferry connection or transport service available between the related locations or entities.
-
B.
hasFerryPort
Indicates that a place serves as a location where ferries regularly dock to load and unload passengers or cargo.
-
C.
hasFerryComponent
Indicates that something includes or is associated with a ferry-related part, feature, or segment within its structure or operation.
-
D.
hasFerryType
Indicates that an entity (such as a ferry route or service) is associated with a specific type or category of ferry.
-
E.
hasNearbyFerryRoute
Indicates that there is a ferry route located close to the referenced entity.
- F. None of above.
Provenance (6 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_69e2d7ddd29481909e7f539a6072bd71 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2932a49b081908b63b1354dfa6583 |
completed | April 29, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fd6633c6081909afea1c7caa9bf3d |
completed | May 22, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_6a0fd7b7c4b481908bd7b871a74423f6 |
completed | May 22, 2026, 4:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0fdb5d39ec819091d56121c35dc85c |
completed | May 22, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:58 a.m.