Triple
T18067168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lika |
E432321
|
entity |
| Predicate | hasMountainRange |
P651
|
FINISHED |
| Object |
Mala Kapela
Mala Kapela is a mountain range in Croatia that forms part of the Dinaric Alps and stretches through the Lika region.
|
E1305701
|
NE FINISHED |
How this triple was built (4 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: Mala Kapela | Statement: [Lika, hasMountainRange, Mala Kapela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mala Kapela Context triple: [Lika, hasMountainRange, Mala Kapela]
-
A.
Mala
Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
-
B.
Mala
Mala is a character in Jhumpa Lahiri’s short story "The Third and Final Continent," portrayed as the narrator’s arranged-marriage wife who gradually builds a tender, companionate relationship with him as they adapt to life in America.
-
C.
Mala
Mala is a musical track featured on the album ENOC by the Puerto Rican singer Ozuna.
-
D.
Mala
Mala is a 2013 studio album by Venezuelan-American singer-songwriter Devendra Banhart, known for its eclectic, lo-fi folk sound and intimate, experimental style.
-
E.
Malakula
Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Mala Kapela Triple: [Lika, hasMountainRange, Mala Kapela]
Generated description
Mala Kapela is a mountain range in Croatia that forms part of the Dinaric Alps and stretches through the Lika region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mala Kapela Target entity description: Mala Kapela is a mountain range in Croatia that forms part of the Dinaric Alps and stretches through the Lika region.
-
A.
Mala
Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
-
B.
Mala
Mala is a character in Jhumpa Lahiri’s short story "The Third and Final Continent," portrayed as the narrator’s arranged-marriage wife who gradually builds a tender, companionate relationship with him as they adapt to life in America.
-
C.
Mala
Mala is a musical track featured on the album ENOC by the Puerto Rican singer Ozuna.
-
D.
Mala
Mala is a 2013 studio album by Venezuelan-American singer-songwriter Devendra Banhart, known for its eclectic, lo-fi folk sound and intimate, experimental style.
-
E.
Malakula
Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
- F. None of above. chosen
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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cceb020081909329492591e7b1f2 |
completed | April 19, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035d880f088190accc81d29e709a2b |
completed | May 12, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_6a036c7ff1ec81908732a11ba9864ca4 |
completed | May 12, 2026, 6:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a036d00e3a881909f6ddb1c96a802ee |
completed | May 12, 2026, 6:10 p.m. |
Created at: April 10, 2026, 10:26 a.m.