Triple
T24018699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Sibayak |
E594755
|
entity |
| Predicate | hasClimbingStartPoint |
P135365
|
FINISHED |
| Object |
Jalan Jaranguda
Jalan Jaranguda is a road and access route in North Sumatra, Indonesia, commonly used by hikers as the main approach to Mount Sibayak.
|
E1613805
|
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: Jalan Jaranguda | Statement: [Mount Sibayak, hasClimbingStartPoint, Jalan Jaranguda]
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: Jalan Jaranguda Triple: [Mount Sibayak, hasClimbingStartPoint, Jalan Jaranguda]
Generated description
Jalan Jaranguda is a road and access route in North Sumatra, Indonesia, commonly used by hikers as the main approach to Mount Sibayak.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClimbingStartPoint Context triple: [Mount Sibayak, hasClimbingStartPoint, Jalan Jaranguda]
-
A.
isClimbingDestination
Indicates that a location serves as a target or goal for a climbing activity or route.
-
B.
hasClimbingTrail
chosen
Indicates that a location or area includes or provides access to a designated climbing trail.
-
C.
hasStaircaseToSummit
Indicates that there exists a staircase providing a direct route or access from a lower point to the summit of something.
-
D.
hasClimb
Indicates that an entity performs or is capable of performing a climbing action on or over another entity or surface.
-
E.
hasClimbingRoutesOn
Indicates that one entity possesses or features climbing routes located on another entity (such as a rock face, wall, or structure).
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5a7b5848190849e7a0f035465b3 |
completed | April 29, 2026, 9:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f7ea4194c819095a542af335bcfe1 |
completed | May 21, 2026, 9:52 p.m. |
| NEDg | Description generation | batch_6a0f7f6edf7081908ac1045c372e6351 |
completed | May 21, 2026, 9:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f801244d08190b9403a8a7bfe520e |
completed | May 21, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:42 p.m.