Triple
T5646188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Smolikas |
E124389
|
entity |
| Predicate | hasSummitName |
P17095
|
FINISHED |
| Object |
Flega
Flega is the summit of Mount Smolikas, one of the highest and most prominent peaks in Greece.
|
E537433
|
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: Flega | Statement: [Mount Smolikas, hasSummitName, Flega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flega Context triple: [Mount Smolikas, hasSummitName, Flega]
-
A.
Volotea
Volotea is a Spanish low-cost airline that primarily operates point-to-point flights connecting small and mid-sized European cities.
-
B.
Abra
Abra is a landlocked province in the northern Philippines known for its mountainous terrain, indigenous cultures, and rich natural landscapes.
-
C.
Pichu
Pichu is a small, baby Electric-type Pokémon known as the pre-evolved form of Pikachu, often depicted as playful and inexperienced with its own electricity.
-
D.
Grolleau
Grolleau is a French red grape variety primarily used to produce light, fruity rosé and red wines, especially in the Anjou region.
-
E.
Charizard
Charizard is a powerful, dragon-like Fire/Flying-type Pokémon known for its fiery breath, iconic role in the Pokémon franchise, and popularity as one of the original starter evolutions.
- 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: Flega Triple: [Mount Smolikas, hasSummitName, Flega]
Generated description
Flega is the summit of Mount Smolikas, one of the highest and most prominent peaks in Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flega Target entity description: Flega is the summit of Mount Smolikas, one of the highest and most prominent peaks in Greece.
-
A.
Volotea
Volotea is a Spanish low-cost airline that primarily operates point-to-point flights connecting small and mid-sized European cities.
-
B.
Abra
Abra is a landlocked province in the northern Philippines known for its mountainous terrain, indigenous cultures, and rich natural landscapes.
-
C.
Pichu
Pichu is a small, baby Electric-type Pokémon known as the pre-evolved form of Pikachu, often depicted as playful and inexperienced with its own electricity.
-
D.
Grolleau
Grolleau is a French red grape variety primarily used to produce light, fruity rosé and red wines, especially in the Anjou region.
-
E.
Charizard
Charizard is a powerful, dragon-like Fire/Flying-type Pokémon known for its fiery breath, iconic role in the Pokémon franchise, and popularity as one of the original starter evolutions.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022aa650c819088d9046b82fab631 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d84e14c8190b913486cb516eee1 |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04edbf1f081908d74d0ac29601a35 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f7e64c88190bbced2f2460c1913 |
completed | March 22, 2026, 8:22 p.m. |
Created at: March 22, 2026, 3:41 p.m.