Triple
T2282668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Cyllene |
E51315
|
entity |
| Predicate | hasSecondarySummit |
P8024
|
FINISHED |
| Object |
Mikri Ziria
Mikri Ziria is the secondary summit of Mount Cyllene (Ziria), a prominent mountain in the Peloponnese region of Greece.
|
E250329
|
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: Mikri Ziria | Statement: [Mount Cyllene, hasSecondarySummit, Mikri Ziria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikri Ziria Context triple: [Mount Cyllene, hasSecondarySummit, Mikri Ziria]
-
A.
Mirik
Mirik is a small hill town and popular tourist destination in the Darjeeling district of West Bengal, India, known for its scenic lake, tea gardens, and pleasant climate.
-
B.
Mujuretuli
Mujuretuli is a traditional Georgian grape variety from the Racha-Lechkhumi and Kvemo Svaneti region, known for producing distinctive, high-quality red wines.
-
C.
Marḥeshvan
Marḥeshvan is the eighth month of the Hebrew calendar, traditionally noted for having no major Jewish holidays.
-
D.
Sarikoli
Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
-
E.
Mota
Mota is an Oceanic language of northern Vanuatu, historically notable as a regional lingua franca and early mission language in the area.
- 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: Mikri Ziria Triple: [Mount Cyllene, hasSecondarySummit, Mikri Ziria]
Generated description
Mikri Ziria is the secondary summit of Mount Cyllene (Ziria), a prominent mountain in the Peloponnese region of Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mikri Ziria Target entity description: Mikri Ziria is the secondary summit of Mount Cyllene (Ziria), a prominent mountain in the Peloponnese region of Greece.
-
A.
Mirik
Mirik is a small hill town and popular tourist destination in the Darjeeling district of West Bengal, India, known for its scenic lake, tea gardens, and pleasant climate.
-
B.
Mujuretuli
Mujuretuli is a traditional Georgian grape variety from the Racha-Lechkhumi and Kvemo Svaneti region, known for producing distinctive, high-quality red wines.
-
C.
Marḥeshvan
Marḥeshvan is the eighth month of the Hebrew calendar, traditionally noted for having no major Jewish holidays.
-
D.
Sarikoli
Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
-
E.
Mota
Mota is an Oceanic language of northern Vanuatu, historically notable as a regional lingua franca and early mission language in the area.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc21d6d748190980128c1bc5b9621 |
completed | March 7, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71e8f7488190ab0c0c93910984fa |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae736f978881908c052f9e12a52201 |
completed | March 9, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae73f1745881908a1015124afa0f7f |
completed | March 9, 2026, 7:17 a.m. |
Created at: March 4, 2026, 7:48 p.m.