Triple
T11618754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladykino MCC station |
E275577
|
entity |
| Predicate | mapDesignation |
P19168
|
FINISHED |
| Object |
MCC-VD
MCC-VD is the map code used to designate the Vladykino station on Moscow’s Central Circle rail line.
|
E937152
|
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: MCC-VD | Statement: [Vladykino MCC station, mapDesignation, MCC-VD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MCC-VD Context triple: [Vladykino MCC station, mapDesignation, MCC-VD]
-
A.
MCC
MCC is a historic Australian sporting club best known for managing the Melbourne Cricket Ground and playing a central role in the development of cricket.
-
B.
MCC
MCC is a mission control center system that coordinates and oversees spaceflight operations, including facilities such as the Yuzhnoye MCC station.
-
C.
MCC
MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
-
D.
MCC
MCC is the former name of the Horizon League, an NCAA Division I collegiate athletic conference in the United States.
-
E.
MCC
MCC is the Mars Colour Camera, an imaging instrument aboard India’s Mars Orbiter Mission used to capture color photographs of the Martian surface and atmosphere.
- 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: MCC-VD Triple: [Vladykino MCC station, mapDesignation, MCC-VD]
Generated description
MCC-VD is the map code used to designate the Vladykino station on Moscow’s Central Circle rail line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MCC-VD Target entity description: MCC-VD is the map code used to designate the Vladykino station on Moscow’s Central Circle rail line.
-
A.
MCC
MCC is a mission control center system that coordinates and oversees spaceflight operations, including facilities such as the Yuzhnoye MCC station.
-
B.
MCC
MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
-
C.
MCC
MCC is a historic Australian sporting club best known for managing the Melbourne Cricket Ground and playing a central role in the development of cricket.
-
D.
MCC
MCC is the Mars Colour Camera, an imaging instrument aboard India’s Mars Orbiter Mission used to capture color photographs of the Martian surface and atmosphere.
-
E.
MCC
MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a047758081908191c1d564409d9a |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee873ee6888190ab6e87ed0f4ae731 |
completed | April 26, 2026, 9:44 p.m. |
| NEDg | Description generation | batch_69ee9cf692e08190b135de0bd7f96274 |
completed | April 26, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd715b448190b738479b7c1379a2 |
completed | April 27, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:38 p.m.