Triple
T5845294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tzoumerka |
E129693
|
entity |
| Predicate | mountainRange |
P648
|
FINISHED |
| Object | Pindus |
E19231
|
NE FINISHED |
How this triple was built (2 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: Pindus | Statement: [Mount Tzoumerka, mountainRange, Pindus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pindus Context triple: [Mount Tzoumerka, mountainRange, Pindus]
-
A.
Pindus Mountains
chosen
The Pindus Mountains are a major mountain range in northern Greece, known for their rugged peaks, deep gorges, and rich biodiversity, often called the "spine of Greece."
-
B.
Lasithi Plateau
The Lasithi Plateau is a high-altitude fertile plain in eastern Crete, Greece, known for its traditional windmills, agriculture, and surrounding mountain scenery.
-
C.
Lasithi
Lasithi is a regional unit on the eastern end of the Greek island of Crete, known for its coastal resorts, mountainous landscapes, and archaeological sites.
-
D.
Kyrenaïkē
Kyrenaïkē is the ancient Greek name for Cyrenaica, a historically significant coastal region of North Africa centered around the city of Cyrene.
-
E.
Grevena plateau
The Grevena plateau is a highland region in western Macedonia, Greece, characterized by its mountainous terrain, forests, and rural agricultural landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034dcafe88190a438034a539ffa52 |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113464f7481909538a1f2ef05216c |
completed | March 23, 2026, 10:17 a.m. |
Created at: March 22, 2026, 3:55 p.m.