Triple
T22697041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milkovo Airport |
E561208
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Milkovo
Milkovo is a rural locality in Russia’s Kamchatka Krai, serving as a regional hub that includes the nearby Milkovo Airport.
|
E1550780
|
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: Milkovo | Statement: [Milkovo Airport, locatedIn, Milkovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milkovo Context triple: [Milkovo Airport, locatedIn, Milkovo]
-
A.
Karlovo
Karlovo is a historic town in central Bulgaria, known as the birthplace of national hero Vasil Levski and as a gateway to the Balkan Mountains.
-
B.
Lovech
Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
-
C.
Pavlovo
Pavlovo is a historic town in Russia, known as an administrative center and for its traditional metalworking and handicraft industries.
-
D.
Pavlovo
Pavlovo is an urban-type settlement located within the Kirovsky District of Leningrad Oblast in northwestern Russia.
-
E.
Jakovo
Jakovo is a suburban settlement within Belgrade, Serbia, known for its location in the Surčin area and its mix of rural and residential character.
- 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: Milkovo Triple: [Milkovo Airport, locatedIn, Milkovo]
Generated description
Milkovo is a rural locality in Russia’s Kamchatka Krai, serving as a regional hub that includes the nearby Milkovo Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milkovo Target entity description: Milkovo is a rural locality in Russia’s Kamchatka Krai, serving as a regional hub that includes the nearby Milkovo Airport.
-
A.
Karlovo
Karlovo is a historic town in central Bulgaria, known as the birthplace of national hero Vasil Levski and as a gateway to the Balkan Mountains.
-
B.
Lovech
Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
-
C.
Pavlovo
Pavlovo is a historic town in Russia, known as an administrative center and for its traditional metalworking and handicraft industries.
-
D.
Pavlovo
Pavlovo is an urban-type settlement located within the Kirovsky District of Leningrad Oblast in northwestern Russia.
-
E.
Jakovo
Jakovo is a suburban settlement within Belgrade, Serbia, known for its location in the Surčin area and its mix of rural and residential character.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789f26848190bcc5a99e3ed909e7 |
completed | April 29, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ed02a8c819082ac8e416e67bead |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b80ccbfbc8190a88fa7b79960d890 |
completed | May 18, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b816a956c8190895d87f74c4785f8 |
completed | May 18, 2026, 9:15 p.m. |
Created at: April 17, 2026, 3:14 p.m.