Triple
T37967908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mainit, Surigao del Norte |
E947197
|
entity |
| Predicate | hasHotSpringTouristAttraction |
P32542
|
FINISHED |
| Object |
Mainit Hot Springs
Mainit Hot Springs is a natural geothermal attraction in Mainit, Surigao del Norte, Philippines, known for its therapeutic warm waters and scenic surroundings.
|
E2249845
|
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: Mainit Hot Springs | Statement: [Mainit, Surigao del Norte, hasHotSpringTouristAttraction, Mainit Hot Springs]
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: Mainit Hot Springs Triple: [Mainit, Surigao del Norte, hasHotSpringTouristAttraction, Mainit Hot Springs]
Generated description
Mainit Hot Springs is a natural geothermal attraction in Mainit, Surigao del Norte, Philippines, known for its therapeutic warm waters and scenic surroundings.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHotSpringTouristAttraction Context triple: [Mainit, Surigao del Norte, hasHotSpringTouristAttraction, Mainit Hot Springs]
-
A.
hasHotSpring
chosen
Indicates that one entity possesses, contains, or is associated with a hot spring.
-
B.
hasNumberOfHotSprings
Indicates the quantity of hot springs associated with a given entity.
-
C.
hasHotSpringUsage
Indicates that an entity makes use of, accesses, or benefits from a hot spring.
-
D.
hasHotSpringsOnSlopes
Indicates that the subject possesses hot springs located on its slopes.
-
E.
hasNumberOfMineralSprings
Indicates the relationship that specifies how many mineral springs are associated with a given 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_69f76ef7062c819091bfacb7e83aa1e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41180ace8c8190bcf8f98479c761a7 |
completed | June 28, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_6a4118a395b8819080fe072ef24f41b3 |
completed | June 28, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4119cd78bc8190b4f84646eea2ec12 |
completed | June 28, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: May 3, 2026, 4:20 p.m.