Triple
T18946259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baba Mountain |
E463520
|
entity |
| Predicate | hasFlora |
P3806
|
FINISHED |
| Object |
Molika pine
Molika pine is a Balkan endemic pine species known for forming dense, high-altitude forests on mountains such as Baba Mountain in North Macedonia.
|
E1351510
|
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: Molika pine | Statement: [Baba Mountain, hasFlora, Molika pine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molika pine Context triple: [Baba Mountain, hasFlora, Molika pine]
-
A.
Molek
Molek is a deity from ancient Near Eastern religions, often associated with child sacrifice and condemned in the Hebrew Bible.
-
B.
Micol
Micol is a given name that is an Italian variant of the name Michael, sharing its origins with the Hungarian form Miklós.
-
C.
Muellama
Muellama is an indigenous Barbacoan language spoken by a small community in the Andean region of South America.
-
D.
Miluk
Miluk is an extinct Native American language of the Coosan family that was traditionally spoken along the southern Oregon coast.
-
E.
Mattioli
Mattioli is an Italian surname historically associated with figures such as the 17th-century statesman Ercole Antonio Mattioli.
- 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: Molika pine Triple: [Baba Mountain, hasFlora, Molika pine]
Generated description
Molika pine is a Balkan endemic pine species known for forming dense, high-altitude forests on mountains such as Baba Mountain in North Macedonia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molika pine Target entity description: Molika pine is a Balkan endemic pine species known for forming dense, high-altitude forests on mountains such as Baba Mountain in North Macedonia.
-
A.
Molek
Molek is a deity from ancient Near Eastern religions, often associated with child sacrifice and condemned in the Hebrew Bible.
-
B.
Micol
Micol is a given name that is an Italian variant of the name Michael, sharing its origins with the Hungarian form Miklós.
-
C.
Muellama
Muellama is an indigenous Barbacoan language spoken by a small community in the Andean region of South America.
-
D.
Miluk
Miluk is an extinct Native American language of the Coosan family that was traditionally spoken along the southern Oregon coast.
-
E.
Mattioli
Mattioli is an Italian surname historically associated with figures such as the 17th-century statesman Ercole Antonio Mattioli.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d53f6eb8819099b1268db8b14d66 |
completed | April 20, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fcc18b48190b3cce80f996f0f16 |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a42828bc819093b89d2007f246a9 |
completed | May 14, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a606d7ac819089c8db42bebb510e |
completed | May 14, 2026, 10:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.