Triple
T2934157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Pelion |
E79224
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Makrinitsa
Makrinitsa is a traditional mountain village in Greece known for its preserved stone architecture, panoramic views over Volos, and location on the slopes of Mount Pelion.
|
E311619
|
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: Makrinitsa | Statement: [Mount Pelion, hasSettlement, Makrinitsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makrinitsa Context triple: [Mount Pelion, hasSettlement, Makrinitsa]
-
A.
Medveditsa
Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
-
B.
Aminyevskaya
Aminyevskaya is a Moscow Metro station on the Big Circle Line serving the Aminyevskoye Shosse area in western Moscow.
-
C.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
D.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
E.
Otradnoye
Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
- 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: Makrinitsa Triple: [Mount Pelion, hasSettlement, Makrinitsa]
Generated description
Makrinitsa is a traditional mountain village in Greece known for its preserved stone architecture, panoramic views over Volos, and location on the slopes of Mount Pelion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makrinitsa Target entity description: Makrinitsa is a traditional mountain village in Greece known for its preserved stone architecture, panoramic views over Volos, and location on the slopes of Mount Pelion.
-
A.
Medveditsa
Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
-
B.
Aminyevskaya
Aminyevskaya is a Moscow Metro station on the Big Circle Line serving the Aminyevskoye Shosse area in western Moscow.
-
C.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
D.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
E.
Otradnoye
Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad983b65f881909b8b7d3dc5c224fd |
completed | March 8, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0867ba1b48190a54d00c32b075548 |
completed | March 10, 2026, 9 p.m. |
| NEDg | Description generation | batch_69b0dbda7ab881908b5a3e1e897fcb49 |
completed | March 11, 2026, 3:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0dc3ed9e08190ac6c6357f0084ba6 |
completed | March 11, 2026, 3:06 a.m. |
Created at: March 8, 2026, 2:56 p.m.