Triple
T6241349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panaitoliko Mountains |
E139608
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Kaliakouda
Kaliakouda is a prominent mountain peak in western Greece, known as the loftiest summit of the Panaitoliko range.
|
E578922
|
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: Kaliakouda | Statement: [Panaitoliko Mountains, highestPoint, Kaliakouda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaliakouda Context triple: [Panaitoliko Mountains, highestPoint, Kaliakouda]
-
A.
Beypore port
Beypore port is a historic minor port and shipbuilding center on the Malabar Coast of Kerala, India, known especially for its traditional wooden dhows (urus).
-
B.
Kehama
Kehama is the powerful and tyrannical sorcerer-rajah who serves as the central antagonist in Robert Southey’s epic poem "The Curse of Kehama."
-
C.
Ponda
Ponda is a town in the Indian state of Goa known for its temples, spice plantations, and proximity to major rivers and forested areas.
-
D.
Kalady
Kalady is a village in the Indian state of Kerala, revered as the birthplace of the 8th-century philosopher and theologian Adi Shankaracharya and an important Hindu pilgrimage center.
-
E.
Bertioga
Bertioga is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and Atlantic Forest landscapes.
- 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: Kaliakouda Triple: [Panaitoliko Mountains, highestPoint, Kaliakouda]
Generated description
Kaliakouda is a prominent mountain peak in western Greece, known as the loftiest summit of the Panaitoliko range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaliakouda Target entity description: Kaliakouda is a prominent mountain peak in western Greece, known as the loftiest summit of the Panaitoliko range.
-
A.
Beypore port
Beypore port is a historic minor port and shipbuilding center on the Malabar Coast of Kerala, India, known especially for its traditional wooden dhows (urus).
-
B.
Kehama
Kehama is the powerful and tyrannical sorcerer-rajah who serves as the central antagonist in Robert Southey’s epic poem "The Curse of Kehama."
-
C.
Ponda
Ponda is a town in the Indian state of Goa known for its temples, spice plantations, and proximity to major rivers and forested areas.
-
D.
Kalady
Kalady is a village in the Indian state of Kerala, revered as the birthplace of the 8th-century philosopher and theologian Adi Shankaracharya and an important Hindu pilgrimage center.
-
E.
Bertioga
Bertioga is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and Atlantic Forest landscapes.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0630797f88190a5571f6000ba2e3b |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20e07bff8819091ca881c9b4daaf6 |
completed | March 24, 2026, 4:07 a.m. |
| NEDg | Description generation | batch_69c214aaef308190be1166c1389bf3d3 |
completed | March 24, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c21508dbec8190b9bb4806a83ecb13 |
completed | March 24, 2026, 4:37 a.m. |
Created at: March 22, 2026, 4:23 p.m.